In [1]:
import numpy as np
import pandas as pd
import tensorflow as tf
import matplotlib.pyplot as plt
%matplotlib inline
import re
from sklearn.preprocessing import scale
from nltk.corpus import stopwords
import nltk
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import math
import os
import random
import zipfile
import numpy as np
from six.moves import urllib
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
In [2]:
df = pd.read_csv('./data/announcements.csv')
print(df)
Title \
0 Need a Ride from Indy Airport back to Rose
1 Yet another person asking for a ride back from...
2 Another ride back to campus
3 Ride back to Campus
4 Requesting a ride back to campus
5 Bring back your change!
6 Ride from Indy
7 Need a Ride Form Indi Airport
8 Need a ride from Indy *on Monday*
9 Need Ride from Indy Airport to Rose
10 Looking for a ride from Indianapolis airport t...
11 Ride back from Indy
12 Ride back to Campus
13 Ride from IND
14 Ride from Indy Airport to Rose
15 Need a ride from Indy Airport to Rose
16 Selling Ti-Nspire
17 Selling Logitech Wireless Wave Combo Mk550
18 Seminar: Hosted by Chemistry and Biochemistry
19 Car Audio parts For Sale
20 NOOK Color 7" tablet for sale
21 Need Xbox 360's
22 Looking for ME 323 Book
23 SAVE THE DATE!
24 NEW - TV, PS3, Apple TV, Dyson, Rosetta Stone,...
25 January Institute Meeting Minutes Posted
26 Lost Keys
27 Found Galaxy SIII
28 3D Event
29 SimplyWell Speaker - Stress Management - Wedne...
... ...
4137 Lost TI-89 Calculator
4138 Housemate for 2015-2016
4139 Spring Swim Lesson Registration opens today!!
4140 Room for rent $150/mo March-June
4141 Selling iPod touch 64 GB and Nexus 7(2013) 32GB
4142 Survey for Class Project - Please Participate
4143 Sub lease
4144 Found Huskie
4145 Alpha Phi Omega Info Session and Free Ice Cream!
4146 Xbox 360 Slim, Two Controllers,7 Games $120 - ...
4147 Found Dog
4148 Found: Fitbit Piece
4149 Forget your phone somewhere?
4150 Airport Shuttle
4151 Giving ride
4152 Looking for a ride to Chicago O'Hare
4153 Found iPhone
4154 Subletting Apartment
4155 WHITE AUDI A4 (or other sedan) LIGHTS ON PERCO...
4156 WHITE AUDI A4 (or other sedan) LIGHTS ON PERCO...
4157 Selling AOC monitor
4158 Class Project - Survey about Evolution
4159 Lost Letter Jacket
4160 Lost Letter Jacket
4161 LOST: Hat
4162 Need Boxes
4163 Looking for used PS3
4164 Thank You!
4165 Missing Glasses
4166 Need Ride to Rose From Indy
Body
0 Happy New Year everyone! I am looking for a ri...
1 My flight lands at 3:45pm on Saturday\nI am wi...
2 I am looking for a ride back to campus from th...
3 I was hoping someone may be able to give me a ...
4 My flight lands at 3:45pm. I am willing to pay...
5 Don't forget to bring your change back to camp...
6 Hi, sorry for yet another email about this, bu...
7 Hey, my name is Eshan Nayyar and I need a ride...
8 Hey all,\n\nMy flight lands in Indy about 1:15...
9 My flight lands on Sunday at 8:24PM, I will be...
10 I arrive in Indianapolis Airport at Saturday A...
11 My flight lands at 11:30 pm on sunday. Is ther...
12 .ExternalClassA87E48F2968B497F900856F9046EE024...
13 Flight arrives at 6AM. I'm wondering if anyone...
14 I am at the airport right now, and I need a ri...
15 My flight lands at 6:50 PM today and I really ...
16 Original Ti-Nspire, no CAS, has both Nspire an...
17 Item is like new, with all factory plastic wra...
18 January 9, 2013\nGM315\n \nThe Sagle Group At ...
19 I am selling 2 RE audio SX 18" subwoofers\nThe...
20 I have a 7" Nook Color tablet I bought for a C...
21 If you have an Xbox 360, working or not, that ...
22 I am looking for a ME 323 book (Comp Apps 2). ...
23 SAVE THE DATE!!!\n \n\n\n\n\n\n\n\n\n\n\n\n\nI...
24 Please see the attached document for informati...
25 The meeting minutes for the January 8, 2013 In...
26 I seem to have misplaced my car keys, they are...
27 If you happened to misplace your Galaxy S3 upo...
28 The Mathematics Department's new 3D workstatio...
29 Stress Management\nWednesday, January 30, 2013...
... ...
4137 I lost my TI-89 calculator, and I don't reme...
4138 Hello!I am looking for a housemate for next ye...
4139 Registration is now open for our annual spring...
4140 Looking for a roommate or two for the spring ...
4141 Selling blue iPod Touch 5th gen 64GB for $150 ...
4142 Students, please fill out this short survey fo...
4143 I have one room sublease avaible for this sp...
4144 I found a huskie wandering around at ashton i...
4145 Alpha Phi Omega is a co-ed service fraturnity ...
4146 Selling this console, still in great conditio...
4147 Last night we found a dog roaming around in o...
4148 A reddish colored Fitbit piece was found and t...
4149 found someones samsung Galaxy with a Blue cas...
4150 Hi all!I need a ride to the Indianapolis Airpo...
4151 Hey, I'm heading to Indy tomorrow morning at a...
4152 Hey,I'm looking for a ride to chicago O'Hare...
4153 An iPhone was found in the men's restroom on ...
4154 I am looking to sublet my apartment to someon...
4155 32D0E824606B40F184C43B0ACB47AB9A p.MsoNormal, ...
4156 268915D1018F4F64AF0EB89542631E9E p.MsoNormal, ...
4157 I got an AOC e1649fwu monitor, It's like new ...
4158 Students, please complete this short survey r...
4159 Hello,Sorry for the spam. I seem to have lost ...
4160 Hello,Sorry for the spam. I seem to have lost ...
4161 It's a Gray Fedora. Lost somewhere between th...
4162 I am in need of some boxes, medium and large s...
4163 Hi,I am interested in buying an used PS3. O...
4164 For the person who found my red notebook and ...
4165 I am missing a pair of black mens Seiko presc...
4166 Will be arriving in Indy airport tonight by 11...
[4167 rows x 2 columns]
In [10]:
titles = df.icol(0)
body = df.icol(1)
body.shape
/opt/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: icol(i) is deprecated. Please use .iloc[:,i]
if __name__ == '__main__':
/opt/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:2: FutureWarning: icol(i) is deprecated. Please use .iloc[:,i]
from ipykernel import kernelapp as app
Out[10]:
(4167,)
In [11]:
body = body.reshape(4167,1)
titles = titles.reshape(4167,1)
In [12]:
N = 4167
In [14]:
def sentence_to_words( sentence ):
# Function to convert a raw review to a string of words
# The input is a single string (a raw movie review), and
# the output is a single string (a preprocessed movie review)
#
# 2. Remove non-letters
letters_only = re.sub("[^a-zA-Z]", " ", sentence)
#
# 3. Convert to lower case, split into individual words
words = letters_only.lower().split()
#
# 4. In Python, searching a set is much faster than searching
# a list, so convert the stop words to a set
stops = set(stopwords.words("english"))
#
# 5. Remove stop words
meaningful_words = [w for w in words if not w in stops]
#
# 6. Join the words back into one string separated by space,
# and return the result.
#return( " ".join( meaningful_words ))
return meaningful_words
In [6]:
def sentence_to_words( sentence ):
# Function to convert a raw review to a string of words
# The input is a single string (a raw movie review), and
# the output is a single string (a preprocessed movie review)
#
# 2. Remove non-letters
letters_only = re.sub("[^a-zA-Z]", " ", sentence)
#
# 3. Convert to lower case, split into individual words
words = letters_only.lower().split()
#
# 4. In Python, searching a set is much faster than searching
# a list, so convert the stop words to a set
stops = set(stopwords.words("english"))
#
# 5. Remove stop words
meaningful_words = [w for w in words if not w in stops]
#
# 6. Join the words back into one string separated by space,
# and return the result.
#return( " ".join( meaningful_words ))
return meaningful_words
In [15]:
sentence_to_words(titles[0][0])
Out[15]:
['need', 'ride', 'indy', 'airport', 'back', 'rose']
In [16]:
def email_to_words():
list = []
for i in range(N):
array = sentence_to_words(titles[i][0])
list.extend(array)
if(isinstance(body[i][0], str)):
array = sentence_to_words(body[i][0])
list.extend(array)
return list
In [17]:
list = email_to_words()
len(list)
Out[17]:
159378
In [18]:
words = list
count = [['UNK', -1]]
In [19]:
# Step 2: Build the dictionary and replace rare words with UNK token.
vocabulary_size = 3000
In [20]:
def build_dataset(words):
count = [['UNK', -1]]
count.extend(collections.Counter(words).most_common(vocabulary_size - 1))
dictionary = dict()
for word, _ in count:
dictionary[word] = len(dictionary)
data = []
unk_count = 0
for word in words:
if word in dictionary:
index = dictionary[word]
else:
index = 0 # dictionary['UNK']
unk_count += 1
data.append(index)
count[0][1] = unk_count
reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys()))
return data, count, dictionary, reverse_dictionary
In [21]:
data, count, dictionary, reverse_dictionary = build_dataset(words)
In [22]:
del words # Hint to reduce memory.
In [23]:
print('Most common words (+UNK)', count[:5])
Most common words (+UNK) [['UNK', 20378], ('rose', 3020), ('hulman', 2705), ('edu', 2386), ('please', 1651)]
In [24]:
print('Sample data', data[:10], [reverse_dictionary[i] for i in data[:10]])
Sample data [17, 11, 34, 39, 42, 1, 601, 27, 63, 161] ['need', 'ride', 'indy', 'airport', 'back', 'rose', 'happy', 'new', 'year', 'everyone']
In [25]:
data_index = 0
In [26]:
# Step 3: Function to generate a training batch for the skip-gram model.
def generate_batch(batch_size, num_skips, skip_window):
global data_index
assert batch_size % num_skips == 0
assert num_skips <= 2 * skip_window
batch = np.ndarray(shape=(batch_size), dtype=np.int32)
labels = np.ndarray(shape=(batch_size, 1), dtype=np.int32)
span = 2 * skip_window + 1 # [ skip_window target skip_window ]
buffer = collections.deque(maxlen=span)
for _ in range(span):
buffer.append(data[data_index])
data_index = (data_index + 1) % len(data)
for i in range(batch_size // num_skips):
target = skip_window # target label at the center of the buffer
targets_to_avoid = [ skip_window ]
for j in range(num_skips):
while target in targets_to_avoid:
target = random.randint(0, span - 1)
targets_to_avoid.append(target)
batch[i * num_skips + j] = buffer[skip_window]
labels[i * num_skips + j, 0] = buffer[target]
buffer.append(data[data_index])
data_index = (data_index + 1) % len(data)
return batch, labels
In [27]:
batch, labels = generate_batch(batch_size=8, num_skips=2, skip_window=1)
In [28]:
for i in range(8):
print(batch[i], reverse_dictionary[batch[i]],
'->', labels[i, 0], reverse_dictionary[labels[i, 0]])
11 ride -> 17 need
11 ride -> 34 indy
34 indy -> 11 ride
34 indy -> 39 airport
39 airport -> 34 indy
39 airport -> 42 back
42 back -> 1 rose
42 back -> 39 airport
In [29]:
# Step 4: Build and train a skip-gram model.
batch_size = 128
embedding_size = 128 # Dimension of the embedding vector.
skip_window = 1 # How many words to consider left and right.
num_skips = 2 # How many times to reuse an input to generate a label.
In [30]:
# We pick a random validation set to sample nearest neighbors. Here we limit the
# validation samples to the words that have a low numeric ID, which by
# construction are also the most frequent.
valid_size = 16 # Random set of words to evaluate similarity on.
valid_window = 100 # Only pick dev samples in the head of the distribution.
valid_examples = np.random.choice(valid_window, valid_size, replace=False)
num_sampled = 64 # Number of negative examples to sample.
In [31]:
graph = tf.Graph()
In [32]:
with graph.as_default():
# Input data.
train_inputs = tf.placeholder(tf.int32, shape=[batch_size])
train_labels = tf.placeholder(tf.int32, shape=[batch_size, 1])
valid_dataset = tf.constant(valid_examples, dtype=tf.int32)
# Ops and variables pinned to the CPU because of missing GPU implementation
with tf.device('/cpu:0'):
# Look up embeddings for inputs.
embeddings = tf.Variable(tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))
embed = tf.nn.embedding_lookup(embeddings, train_inputs)
# Construct the variables for the NCE loss
nce_weights = tf.Variable(
tf.truncated_normal([vocabulary_size, embedding_size],
stddev=1.0 / math.sqrt(embedding_size)))
nce_biases = tf.Variable(tf.zeros([vocabulary_size]))
# Compute the average NCE loss for the batch.
# tf.nce_loss automatically draws a new sample of the negative labels each
# time we evaluate the loss.
loss = tf.reduce_mean(tf.nn.nce_loss(nce_weights, nce_biases, embed, train_labels,
num_sampled, vocabulary_size))
# Construct the SGD optimizer using a learning rate of 1.0.
optimizer = tf.train.GradientDescentOptimizer(1.0).minimize(loss)
# Compute the cosine similarity between minibatch examples and all embeddings.
norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))
normalized_embeddings = embeddings / norm
valid_embeddings = tf.nn.embedding_lookup(normalized_embeddings, valid_dataset)
similarity = tf.matmul(valid_embeddings, normalized_embeddings, transpose_b=True)
# Add variable initializer.
init = tf.initialize_all_variables()
saver = tf.train.Saver() # Gets all variables in `graph`.
In [33]:
# Step 5: Begin training.
num_steps = 100001
#num_steps = 10
In [34]:
with tf.Session(graph=graph) as session:
# We must initialize all variables before we use them.
init.run()
print("Initialized")
average_loss = 0
for step in xrange(num_steps):
batch_inputs, batch_labels = generate_batch(
batch_size, num_skips, skip_window)
feed_dict = {train_inputs : batch_inputs, train_labels : batch_labels}
# We perform one update step by evaluating the optimizer op (including it
# in the list of returned values for session.run()
_, loss_val = session.run([optimizer, loss], feed_dict=feed_dict)
average_loss += loss_val
if step % 2000 == 0:
if step > 0:
average_loss /= 2000
# The average loss is an estimate of the loss over the last 2000 batches.
print("Average loss at step ", step, ": ", average_loss)
average_loss = 0
# Note that this is expensive (~20% slowdown if computed every 500 steps)
if step % 10000 == 0:
sim = similarity.eval()
for i in xrange(valid_size):
valid_word = reverse_dictionary[valid_examples[i]]
top_k = 8 # number of nearest neighbors
nearest = (-sim[i, :]).argsort()[1:top_k+1]
log_str = "Nearest to %s:" % valid_word
for k in xrange(top_k):
close_word = reverse_dictionary[nearest[k]]
log_str = "%s %s," % (log_str, close_word)
print(log_str)
final_embeddings = normalized_embeddings.eval()
save_path = saver.save(session, "./data/model.ckpt")
Initialized
Average loss at step 0 : 199.10067749
Nearest to family: theta,
Nearest to family: theta, business,
Nearest to family: theta, business, latest,
Nearest to family: theta, business, latest, station,
Nearest to family: theta, business, latest, station, item,
Nearest to family: theta, business, latest, station, item, properties,
Nearest to family: theta, business, latest, station, item, properties, questions,
Nearest to family: theta, business, latest, station, item, properties, questions, close,
Nearest to engineering: mark,
Nearest to engineering: mark, functions,
Nearest to engineering: mark, functions, seem,
Nearest to engineering: mark, functions, seem, much,
Nearest to engineering: mark, functions, seem, much, academics,
Nearest to engineering: mark, functions, seem, much, academics, ghz,
Nearest to engineering: mark, functions, seem, much, academics, ghz, management,
Nearest to engineering: mark, functions, seem, much, academics, ghz, management, height,
Nearest to serif: button,
Nearest to serif: button, graduate,
Nearest to serif: button, graduate, field,
Nearest to serif: button, graduate, field, offered,
Nearest to serif: button, graduate, field, offered, remote,
Nearest to serif: button, graduate, field, offered, remote, human,
Nearest to serif: button, graduate, field, offered, remote, human, brainard,
Nearest to serif: button, graduate, field, offered, remote, human, brainard, ports,
Nearest to help: vga,
Nearest to help: vga, developers,
Nearest to help: vga, developers, sunglasses,
Nearest to help: vga, developers, sunglasses, maker,
Nearest to help: vga, developers, sunglasses, maker, environment,
Nearest to help: vga, developers, sunglasses, maker, environment, volunteer,
Nearest to help: vga, developers, sunglasses, maker, environment, volunteer, western,
Nearest to help: vga, developers, sunglasses, maker, environment, volunteer, western, questions,
Nearest to cell: vacuum,
Nearest to cell: vacuum, banner,
Nearest to cell: vacuum, banner, src,
Nearest to cell: vacuum, banner, src, like,
Nearest to cell: vacuum, banner, src, like, imgur,
Nearest to cell: vacuum, banner, src, like, imgur, clicking,
Nearest to cell: vacuum, banner, src, like, imgur, clicking, paper,
Nearest to cell: vacuum, banner, src, like, imgur, clicking, paper, presenter,
Nearest to know: hold,
Nearest to know: hold, flat,
Nearest to know: hold, flat, safe,
Nearest to know: hold, flat, safe, presentation,
Nearest to know: hold, flat, safe, presentation, heat,
Nearest to know: hold, flat, safe, presentation, heat, hare,
Nearest to know: hold, flat, safe, presentation, heat, hare, jack,
Nearest to know: hold, flat, safe, presentation, heat, hare, jack, obo,
Nearest to found: study,
Nearest to found: study, determine,
Nearest to found: study, determine, edu,
Nearest to found: study, determine, edu, ray,
Nearest to found: study, determine, edu, ray, tear,
Nearest to found: study, determine, edu, ray, tear, bc,
Nearest to found: study, determine, edu, ray, tear, bc, bracelet,
Nearest to found: study, determine, edu, ray, tear, bc, bracelet, lake,
Nearest to used: cee,
Nearest to used: cee, cross,
Nearest to used: cee, cross, download,
Nearest to used: cee, cross, download, finish,
Nearest to used: cee, cross, download, finish, pool,
Nearest to used: cee, cross, download, finish, pool, disc,
Nearest to used: cee, cross, download, finish, pool, disc, display,
Nearest to used: cee, cross, download, finish, pool, disc, display, insignia,
Nearest to airport: soccer,
Nearest to airport: soccer, block,
Nearest to airport: soccer, block, cbe,
Nearest to airport: soccer, block, cbe, wiki,
Nearest to airport: soccer, block, cbe, wiki, record,
Nearest to airport: soccer, block, cbe, wiki, record, adc,
Nearest to airport: soccer, block, cbe, wiki, record, adc, switch,
Nearest to airport: soccer, block, cbe, wiki, record, adc, switch, listing,
Nearest to pm: generic,
Nearest to pm: generic, startup,
Nearest to pm: generic, startup, cdb,
Nearest to pm: generic, startup, cdb, towards,
Nearest to pm: generic, startup, cdb, towards, biomedical,
Nearest to pm: generic, startup, cdb, towards, biomedical, privacy,
Nearest to pm: generic, startup, cdb, towards, biomedical, privacy, village,
Nearest to pm: generic, startup, cdb, towards, biomedical, privacy, village, appears,
Nearest to underline: anything,
Nearest to underline: anything, often,
Nearest to underline: anything, often, dont,
Nearest to underline: anything, often, dont, membership,
Nearest to underline: anything, often, dont, membership, bad,
Nearest to underline: anything, often, dont, membership, bad, ab,
Nearest to underline: anything, often, dont, membership, bad, ab, built,
Nearest to underline: anything, often, dont, membership, bad, ab, built, yesterday,
Nearest to percopo: prepare,
Nearest to percopo: prepare, pockets,
Nearest to percopo: prepare, pockets, processes,
Nearest to percopo: prepare, pockets, processes, black,
Nearest to percopo: prepare, pockets, processes, black, negotiable,
Nearest to percopo: prepare, pockets, processes, black, negotiable, use,
Nearest to percopo: prepare, pockets, processes, black, negotiable, use, basics,
Nearest to percopo: prepare, pockets, processes, black, negotiable, use, basics, retirement,
Nearest to div: hosting,
Nearest to div: hosting, couponing,
Nearest to div: hosting, couponing, speed,
Nearest to div: hosting, couponing, speed, ends,
Nearest to div: hosting, couponing, speed, ends, text,
Nearest to div: hosting, couponing, speed, ends, text, jan,
Nearest to div: hosting, couponing, speed, ends, text, jan, offices,
Nearest to div: hosting, couponing, speed, ends, text, jan, offices, message,
Nearest to externalclass: offices,
Nearest to externalclass: offices, anytime,
Nearest to externalclass: offices, anytime, screen,
Nearest to externalclass: offices, anytime, screen, flight,
Nearest to externalclass: offices, anytime, screen, flight, ride,
Nearest to externalclass: offices, anytime, screen, flight, ride, diabetes,
Nearest to externalclass: offices, anytime, screen, flight, ride, diabetes, ebc,
Nearest to externalclass: offices, anytime, screen, flight, ride, diabetes, ebc, perfect,
Nearest to free: resolution,
Nearest to free: resolution, cbe,
Nearest to free: resolution, cbe, windows,
Nearest to free: resolution, cbe, windows, bundle,
Nearest to free: resolution, cbe, windows, bundle, county,
Nearest to free: resolution, cbe, windows, bundle, county, week,
Nearest to free: resolution, cbe, windows, bundle, county, week, listing,
Nearest to free: resolution, cbe, windows, bundle, county, week, listing, making,
Nearest to margin: biology,
Nearest to margin: biology, saddle,
Nearest to margin: biology, saddle, dorm,
Nearest to margin: biology, saddle, dorm, thesis,
Nearest to margin: biology, saddle, dorm, thesis, shoe,
Nearest to margin: biology, saddle, dorm, thesis, shoe, afternoon,
Nearest to margin: biology, saddle, dorm, thesis, shoe, afternoon, leg,
Nearest to margin: biology, saddle, dorm, thesis, shoe, afternoon, leg, easily,
Average loss at step 2000 : 15.0230640922
Average loss at step 4000 : 4.24291721773
Average loss at step 6000 : 3.91071711886
Average loss at step 8000 : 3.74769697905
Average loss at step 10000 : 3.66144348145
Nearest to family: theta,
Nearest to family: theta, sans,
Nearest to family: theta, sans, business,
Nearest to family: theta, sans, business, latest,
Nearest to family: theta, sans, business, latest, station,
Nearest to family: theta, sans, business, latest, station, interaction,
Nearest to family: theta, sans, business, latest, station, interaction, c,
Nearest to family: theta, sans, business, latest, station, interaction, c, externalclassc,
Nearest to engineering: mark,
Nearest to engineering: mark, functions,
Nearest to engineering: mark, functions, ead,
Nearest to engineering: mark, functions, ead, flag,
Nearest to engineering: mark, functions, ead, flag, management,
Nearest to engineering: mark, functions, ead, flag, management, seem,
Nearest to engineering: mark, functions, ead, flag, management, seem, statistics,
Nearest to engineering: mark, functions, ead, flag, management, seem, statistics, eec,
Nearest to serif: field,
Nearest to serif: field, dbded,
Nearest to serif: field, dbded, button,
Nearest to serif: field, dbded, button, graduate,
Nearest to serif: field, dbded, button, graduate, sharp,
Nearest to serif: field, dbded, button, graduate, sharp, onto,
Nearest to serif: field, dbded, button, graduate, sharp, onto, f,
Nearest to serif: field, dbded, button, graduate, sharp, onto, f, remote,
Nearest to help: vga,
Nearest to help: vga, developers,
Nearest to help: vga, developers, sounds,
Nearest to help: vga, developers, sounds, questions,
Nearest to help: vga, developers, sounds, questions, sunglasses,
Nearest to help: vga, developers, sounds, questions, sunglasses, maker,
Nearest to help: vga, developers, sounds, questions, sunglasses, maker, appreciate,
Nearest to help: vga, developers, sounds, questions, sunglasses, maker, appreciate, rotation,
Nearest to cell: vacuum,
Nearest to cell: vacuum, imgur,
Nearest to cell: vacuum, imgur, clicking,
Nearest to cell: vacuum, imgur, clicking, src,
Nearest to cell: vacuum, imgur, clicking, src, processes,
Nearest to cell: vacuum, imgur, clicking, src, processes, banner,
Nearest to cell: vacuum, imgur, clicking, src, processes, banner, eec,
Nearest to cell: vacuum, imgur, clicking, src, processes, banner, eec, andrew,
Nearest to know: hold,
Nearest to know: hold, flat,
Nearest to know: hold, flat, externalclassbd,
Nearest to know: hold, flat, externalclassbd, anna,
Nearest to know: hold, flat, externalclassbd, anna, hare,
Nearest to know: hold, flat, externalclassbd, anna, hare, safe,
Nearest to know: hold, flat, externalclassbd, anna, hare, safe, fafsa,
Nearest to know: hold, flat, externalclassbd, anna, hare, safe, fafsa, letter,
Nearest to found: lost,
Nearest to found: lost, study,
Nearest to found: lost, study, lake,
Nearest to found: lost, study, lake, determine,
Nearest to found: lost, study, lake, determine, ray,
Nearest to found: lost, study, lake, determine, ray, tear,
Nearest to found: lost, study, lake, determine, ray, tear, floor,
Nearest to found: lost, study, lake, determine, ray, tear, floor, chloride,
Nearest to used: statics,
Nearest to used: statics, cee,
Nearest to used: statics, cee, finish,
Nearest to used: statics, cee, finish, various,
Nearest to used: statics, cee, finish, various, eef,
Nearest to used: statics, cee, finish, various, eef, disc,
Nearest to used: statics, cee, finish, various, eef, disc, cross,
Nearest to used: statics, cee, finish, various, eef, disc, cross, download,
Nearest to airport: soccer,
Nearest to airport: soccer, thursday,
Nearest to airport: soccer, thursday, acer,
Nearest to airport: soccer, thursday, acer, block,
Nearest to airport: soccer, thursday, acer, block, fdaaa,
Nearest to airport: soccer, thursday, acer, block, fdaaa, took,
Nearest to airport: soccer, thursday, acer, block, fdaaa, took, edbb,
Nearest to airport: soccer, thursday, acer, block, fdaaa, took, edbb, changed,
Nearest to pm: generic,
Nearest to pm: generic, dbded,
Nearest to pm: generic, dbded, morning,
Nearest to pm: generic, dbded, morning, rotation,
Nearest to pm: generic, dbded, morning, rotation, language,
Nearest to pm: generic, dbded, morning, rotation, language, crosby,
Nearest to pm: generic, dbded, morning, rotation, language, crosby, towards,
Nearest to pm: generic, dbded, morning, rotation, language, crosby, towards, grade,
Nearest to underline: anything,
Nearest to underline: anything, bad,
Nearest to underline: anything, bad, eea,
Nearest to underline: anything, bad, eea, often,
Nearest to underline: anything, bad, eea, often, ab,
Nearest to underline: anything, bad, eea, often, ab, august,
Nearest to underline: anything, bad, eea, often, ab, august, intro,
Nearest to underline: anything, bad, eea, often, ab, august, intro, e,
Nearest to percopo: prepare,
Nearest to percopo: prepare, pockets,
Nearest to percopo: prepare, pockets, jpg,
Nearest to percopo: prepare, pockets, jpg, avenue,
Nearest to percopo: prepare, pockets, jpg, avenue, retirement,
Nearest to percopo: prepare, pockets, jpg, avenue, retirement, missing,
Nearest to percopo: prepare, pockets, jpg, avenue, retirement, missing, along,
Nearest to percopo: prepare, pockets, jpg, avenue, retirement, missing, along, broke,
Nearest to div: couponing,
Nearest to div: couponing, hosting,
Nearest to div: couponing, hosting, eec,
Nearest to div: couponing, hosting, eec, ends,
Nearest to div: couponing, hosting, eec, ends, e,
Nearest to div: couponing, hosting, eec, ends, e, bd,
Nearest to div: couponing, hosting, eec, ends, e, bd, li,
Nearest to div: couponing, hosting, eec, ends, e, bd, li, steps,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, fcb,
Nearest to externalclass: externalclassf, fcb, bab,
Nearest to externalclass: externalclassf, fcb, bab, margin,
Nearest to externalclass: externalclassf, fcb, bab, margin, ee,
Nearest to externalclass: externalclassf, fcb, bab, margin, ee, afa,
Nearest to externalclass: externalclassf, fcb, bab, margin, ee, afa, eec,
Nearest to externalclass: externalclassf, fcb, bab, margin, ee, afa, eec, dbded,
Nearest to free: externalclasscfbded,
Nearest to free: externalclasscfbded, resolution,
Nearest to free: externalclasscfbded, resolution, windows,
Nearest to free: externalclasscfbded, resolution, windows, returned,
Nearest to free: externalclasscfbded, resolution, windows, returned, cbe,
Nearest to free: externalclasscfbded, resolution, windows, returned, cbe, fcb,
Nearest to free: externalclasscfbded, resolution, windows, returned, cbe, fcb, return,
Nearest to free: externalclasscfbded, resolution, windows, returned, cbe, fcb, return, wellness,
Nearest to margin: externalclasscfbded,
Nearest to margin: externalclasscfbded, fcb,
Nearest to margin: externalclasscfbded, fcb, dorm,
Nearest to margin: externalclasscfbded, fcb, dorm, thesis,
Nearest to margin: externalclasscfbded, fcb, dorm, thesis, externalclass,
Nearest to margin: externalclasscfbded, fcb, dorm, thesis, externalclass, afa,
Nearest to margin: externalclasscfbded, fcb, dorm, thesis, externalclass, afa, biology,
Nearest to margin: externalclasscfbded, fcb, dorm, thesis, externalclass, afa, biology, easily,
Average loss at step 12000 : 3.5742196238
Average loss at step 14000 : 3.49751707268
Average loss at step 16000 : 3.45453358489
Average loss at step 18000 : 3.42691146111
Average loss at step 20000 : 3.34691510367
Nearest to family: theta,
Nearest to family: theta, sans,
Nearest to family: theta, sans, business,
Nearest to family: theta, sans, business, latest,
Nearest to family: theta, sans, business, latest, station,
Nearest to family: theta, sans, business, latest, station, interaction,
Nearest to family: theta, sans, business, latest, station, interaction, mounting,
Nearest to family: theta, sans, business, latest, station, interaction, mounting, therapy,
Nearest to engineering: mark,
Nearest to engineering: mark, functions,
Nearest to engineering: mark, functions, management,
Nearest to engineering: mark, functions, management, flag,
Nearest to engineering: mark, functions, management, flag, ead,
Nearest to engineering: mark, functions, management, flag, ead, statistics,
Nearest to engineering: mark, functions, management, flag, ead, statistics, academics,
Nearest to engineering: mark, functions, management, flag, ead, statistics, academics, saddle,
Nearest to serif: f,
Nearest to serif: f, underline,
Nearest to serif: f, underline, dbded,
Nearest to serif: f, underline, dbded, onto,
Nearest to serif: f, underline, dbded, onto, field,
Nearest to serif: f, underline, dbded, onto, field, msonormal,
Nearest to serif: f, underline, dbded, onto, field, msonormal, bf,
Nearest to serif: f, underline, dbded, onto, field, msonormal, bf, button,
Nearest to help: vga,
Nearest to help: vga, developers,
Nearest to help: vga, developers, appreciate,
Nearest to help: vga, developers, appreciate, sounds,
Nearest to help: vga, developers, appreciate, sounds, questions,
Nearest to help: vga, developers, appreciate, sounds, questions, louis,
Nearest to help: vga, developers, appreciate, sounds, questions, louis, intramurals,
Nearest to help: vga, developers, appreciate, sounds, questions, louis, intramurals, sunglasses,
Nearest to cell: UNK,
Nearest to cell: UNK, imgur,
Nearest to cell: UNK, imgur, vacuum,
Nearest to cell: UNK, imgur, vacuum, andrew,
Nearest to cell: UNK, imgur, vacuum, andrew, solving,
Nearest to cell: UNK, imgur, vacuum, andrew, solving, fell,
Nearest to cell: UNK, imgur, vacuum, andrew, solving, fell, clicking,
Nearest to cell: UNK, imgur, vacuum, andrew, solving, fell, clicking, src,
Nearest to know: hold,
Nearest to know: hold, anna,
Nearest to know: hold, anna, flat,
Nearest to know: hold, anna, flat, safe,
Nearest to know: hold, anna, flat, safe, hare,
Nearest to know: hold, anna, flat, safe, hare, ben,
Nearest to know: hold, anna, flat, safe, hare, ben, tell,
Nearest to know: hold, anna, flat, safe, hare, ben, tell, jack,
Nearest to found: lost,
Nearest to found: lost, left,
Nearest to found: lost, left, lake,
Nearest to found: lost, left, lake, floor,
Nearest to found: lost, left, lake, floor, missing,
Nearest to found: lost, left, lake, floor, missing, nike,
Nearest to found: lost, left, lake, floor, missing, nike, hall,
Nearest to found: lost, left, lake, floor, missing, nike, hall, tear,
Nearest to used: statics,
Nearest to used: statics, various,
Nearest to used: statics, various, finish,
Nearest to used: statics, various, finish, cee,
Nearest to used: statics, various, finish, cee, eef,
Nearest to used: statics, various, finish, cee, eef, cross,
Nearest to used: statics, various, finish, cee, eef, cross, br,
Nearest to used: statics, various, finish, cee, eef, cross, br, fellow,
Nearest to airport: soccer,
Nearest to airport: soccer, thursday,
Nearest to airport: soccer, thursday, acer,
Nearest to airport: soccer, thursday, acer, fdaaa,
Nearest to airport: soccer, thursday, acer, fdaaa, took,
Nearest to airport: soccer, thursday, acer, fdaaa, took, block,
Nearest to airport: soccer, thursday, acer, fdaaa, took, block, changed,
Nearest to airport: soccer, thursday, acer, fdaaa, took, block, changed, alzheimer,
Nearest to pm: morning,
Nearest to pm: morning, generic,
Nearest to pm: morning, generic, dbded,
Nearest to pm: morning, generic, dbded, crosby,
Nearest to pm: morning, generic, dbded, crosby, tahoma,
Nearest to pm: morning, generic, dbded, crosby, tahoma, grade,
Nearest to pm: morning, generic, dbded, crosby, tahoma, grade, language,
Nearest to pm: morning, generic, dbded, crosby, tahoma, grade, language, rotation,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, anything,
Nearest to underline: msonormal, serif, anything, august,
Nearest to underline: msonormal, serif, anything, august, eea,
Nearest to underline: msonormal, serif, anything, august, eea, bad,
Nearest to underline: msonormal, serif, anything, august, eea, bad, c,
Nearest to underline: msonormal, serif, anything, august, eea, bad, c, often,
Nearest to percopo: prepare,
Nearest to percopo: prepare, pockets,
Nearest to percopo: prepare, pockets, jpg,
Nearest to percopo: prepare, pockets, jpg, task,
Nearest to percopo: prepare, pockets, jpg, task, internal,
Nearest to percopo: prepare, pockets, jpg, task, internal, deck,
Nearest to percopo: prepare, pockets, jpg, task, internal, deck, retirement,
Nearest to percopo: prepare, pockets, jpg, task, internal, deck, retirement, basics,
Nearest to div: li,
Nearest to div: li, b,
Nearest to div: li, b, couponing,
Nearest to div: li, b, couponing, hosting,
Nearest to div: li, b, couponing, hosting, eec,
Nearest to div: li, b, couponing, hosting, eec, ends,
Nearest to div: li, b, couponing, hosting, eec, ends, aba,
Nearest to div: li, b, couponing, hosting, eec, ends, aba, bd,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, fcb,
Nearest to externalclass: externalclassf, fcb, externalclasscfbded,
Nearest to externalclass: externalclassf, fcb, externalclasscfbded, bab,
Nearest to externalclass: externalclassf, fcb, externalclasscfbded, bab, f,
Nearest to externalclass: externalclassf, fcb, externalclasscfbded, bab, f, margin,
Nearest to externalclass: externalclassf, fcb, externalclasscfbded, bab, f, margin, afa,
Nearest to externalclass: externalclassf, fcb, externalclasscfbded, bab, f, margin, afa, fbc,
Nearest to free: externalclasscfbded,
Nearest to free: externalclasscfbded, resolution,
Nearest to free: externalclasscfbded, resolution, cbe,
Nearest to free: externalclasscfbded, resolution, cbe, windows,
Nearest to free: externalclasscfbded, resolution, cbe, windows, returned,
Nearest to free: externalclasscfbded, resolution, cbe, windows, returned, wellness,
Nearest to free: externalclasscfbded, resolution, cbe, windows, returned, wellness, listing,
Nearest to free: externalclasscfbded, resolution, cbe, windows, returned, wellness, listing, return,
Nearest to margin: externalclasscfbded,
Nearest to margin: externalclasscfbded, dorm,
Nearest to margin: externalclasscfbded, dorm, externalclass,
Nearest to margin: externalclasscfbded, dorm, externalclass, thesis,
Nearest to margin: externalclasscfbded, dorm, externalclass, thesis, fcb,
Nearest to margin: externalclasscfbded, dorm, externalclass, thesis, fcb, top,
Nearest to margin: externalclasscfbded, dorm, externalclass, thesis, fcb, top, drivers,
Nearest to margin: externalclasscfbded, dorm, externalclass, thesis, fcb, top, drivers, easily,
Average loss at step 22000 : 3.33023425996
Average loss at step 24000 : 3.310354334
Average loss at step 26000 : 3.24996370226
Average loss at step 28000 : 3.23306220457
Average loss at step 30000 : 3.24601641995
Nearest to family: theta,
Nearest to family: theta, latest,
Nearest to family: theta, latest, business,
Nearest to family: theta, latest, business, sans,
Nearest to family: theta, latest, business, sans, station,
Nearest to family: theta, latest, business, sans, station, interaction,
Nearest to family: theta, latest, business, sans, station, interaction, mounting,
Nearest to family: theta, latest, business, sans, station, interaction, mounting, therapy,
Nearest to engineering: mark,
Nearest to engineering: mark, functions,
Nearest to engineering: mark, functions, management,
Nearest to engineering: mark, functions, management, saddle,
Nearest to engineering: mark, functions, management, saddle, academics,
Nearest to engineering: mark, functions, management, saddle, academics, statistics,
Nearest to engineering: mark, functions, management, saddle, academics, statistics, ead,
Nearest to engineering: mark, functions, management, saddle, academics, statistics, ead, eec,
Nearest to serif: underline,
Nearest to serif: underline, msonormal,
Nearest to serif: underline, msonormal, dbded,
Nearest to serif: underline, msonormal, dbded, f,
Nearest to serif: underline, msonormal, dbded, f, onto,
Nearest to serif: underline, msonormal, dbded, f, onto, bf,
Nearest to serif: underline, msonormal, dbded, f, onto, bf, windowtext,
Nearest to serif: underline, msonormal, dbded, f, onto, bf, windowtext, field,
Nearest to help: developers,
Nearest to help: developers, intramurals,
Nearest to help: developers, intramurals, appreciate,
Nearest to help: developers, intramurals, appreciate, louis,
Nearest to help: developers, intramurals, appreciate, louis, questions,
Nearest to help: developers, intramurals, appreciate, louis, questions, vga,
Nearest to help: developers, intramurals, appreciate, louis, questions, vga, sounds,
Nearest to help: developers, intramurals, appreciate, louis, questions, vga, sounds, power,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, fell,
Nearest to cell: imgur, solving, fell, andrew,
Nearest to cell: imgur, solving, fell, andrew, vacuum,
Nearest to cell: imgur, solving, fell, andrew, vacuum, buying,
Nearest to cell: imgur, solving, fell, andrew, vacuum, buying, clicking,
Nearest to cell: imgur, solving, fell, andrew, vacuum, buying, clicking, circle,
Nearest to know: hold,
Nearest to know: hold, anna,
Nearest to know: hold, anna, tell,
Nearest to know: hold, anna, tell, safe,
Nearest to know: hold, anna, tell, safe, hare,
Nearest to know: hold, anna, tell, safe, hare, ben,
Nearest to know: hold, anna, tell, safe, hare, ben, rush,
Nearest to know: hold, anna, tell, safe, hare, ben, rush, flat,
Nearest to found: lost,
Nearest to found: lost, floor,
Nearest to found: lost, floor, left,
Nearest to found: lost, floor, left, nike,
Nearest to found: lost, floor, left, nike, hall,
Nearest to found: lost, floor, left, nike, hall, kepchaja,
Nearest to found: lost, floor, left, nike, hall, kepchaja, lake,
Nearest to found: lost, floor, left, nike, hall, kepchaja, lake, missing,
Nearest to used: statics,
Nearest to used: statics, various,
Nearest to used: statics, various, finish,
Nearest to used: statics, various, finish, eef,
Nearest to used: statics, various, finish, eef, cee,
Nearest to used: statics, various, finish, eef, cee, cross,
Nearest to used: statics, various, finish, eef, cee, cross, wall,
Nearest to used: statics, various, finish, eef, cee, cross, wall, exercise,
Nearest to airport: soccer,
Nearest to airport: soccer, fdaaa,
Nearest to airport: soccer, fdaaa, thursday,
Nearest to airport: soccer, fdaaa, thursday, acer,
Nearest to airport: soccer, fdaaa, thursday, acer, took,
Nearest to airport: soccer, fdaaa, thursday, acer, took, aaef,
Nearest to airport: soccer, fdaaa, thursday, acer, took, aaef, block,
Nearest to airport: soccer, fdaaa, thursday, acer, took, aaef, block, edb,
Nearest to pm: morning,
Nearest to pm: morning, grade,
Nearest to pm: morning, grade, generic,
Nearest to pm: morning, grade, generic, crosby,
Nearest to pm: morning, grade, generic, crosby, tahoma,
Nearest to pm: morning, grade, generic, crosby, tahoma, dbded,
Nearest to pm: morning, grade, generic, crosby, tahoma, dbded, sunday,
Nearest to pm: morning, grade, generic, crosby, tahoma, dbded, sunday, village,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, august,
Nearest to underline: msonormal, serif, august, anything,
Nearest to underline: msonormal, serif, august, anything, windowtext,
Nearest to underline: msonormal, serif, august, anything, windowtext, eea,
Nearest to underline: msonormal, serif, august, anything, windowtext, eea, sans,
Nearest to underline: msonormal, serif, august, anything, windowtext, eea, sans, dbded,
Nearest to percopo: prepare,
Nearest to percopo: prepare, pockets,
Nearest to percopo: prepare, pockets, deck,
Nearest to percopo: prepare, pockets, deck, lakeside,
Nearest to percopo: prepare, pockets, deck, lakeside, task,
Nearest to percopo: prepare, pockets, deck, lakeside, task, internal,
Nearest to percopo: prepare, pockets, deck, lakeside, task, internal, jpg,
Nearest to percopo: prepare, pockets, deck, lakeside, task, internal, jpg, retirement,
Nearest to div: li,
Nearest to div: li, b,
Nearest to div: li, b, msochpdefault,
Nearest to div: li, b, msochpdefault, eec,
Nearest to div: li, b, msochpdefault, eec, couponing,
Nearest to div: li, b, msochpdefault, eec, couponing, hosting,
Nearest to div: li, b, msochpdefault, eec, couponing, hosting, bd,
Nearest to div: li, b, msochpdefault, eec, couponing, hosting, bd, ends,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, externalclasscfbded,
Nearest to externalclass: externalclassf, externalclasscfbded, fcb,
Nearest to externalclass: externalclassf, externalclasscfbded, fcb, f,
Nearest to externalclass: externalclassf, externalclasscfbded, fcb, f, bab,
Nearest to externalclass: externalclassf, externalclasscfbded, fcb, f, bab, b,
Nearest to externalclass: externalclassf, externalclasscfbded, fcb, f, bab, b, fbc,
Nearest to externalclass: externalclassf, externalclasscfbded, fcb, f, bab, b, fbc, externalclassdf,
Nearest to free: resolution,
Nearest to free: resolution, cbe,
Nearest to free: resolution, cbe, returned,
Nearest to free: resolution, cbe, returned, externalclasscfbded,
Nearest to free: resolution, cbe, returned, externalclasscfbded, windows,
Nearest to free: resolution, cbe, returned, externalclasscfbded, windows, clear,
Nearest to free: resolution, cbe, returned, externalclasscfbded, windows, clear, wellness,
Nearest to free: resolution, cbe, returned, externalclasscfbded, windows, clear, wellness, bluetooth,
Nearest to margin: externalclasscfbded,
Nearest to margin: externalclasscfbded, dorm,
Nearest to margin: externalclasscfbded, dorm, top,
Nearest to margin: externalclasscfbded, dorm, top, externalclass,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers, easily,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers, easily, bottom,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers, easily, bottom, thesis,
Average loss at step 32000 : 3.18468966526
Average loss at step 34000 : 3.18632279354
Average loss at step 36000 : 3.14601511568
Average loss at step 38000 : 3.1408300035
Average loss at step 40000 : 3.11276617932
Nearest to family: theta,
Nearest to family: theta, latest,
Nearest to family: theta, latest, station,
Nearest to family: theta, latest, station, business,
Nearest to family: theta, latest, station, business, sans,
Nearest to family: theta, latest, station, business, sans, audrey,
Nearest to family: theta, latest, station, business, sans, audrey, therapy,
Nearest to family: theta, latest, station, business, sans, audrey, therapy, interaction,
Nearest to engineering: mark,
Nearest to engineering: mark, functions,
Nearest to engineering: mark, functions, saddle,
Nearest to engineering: mark, functions, saddle, principles,
Nearest to engineering: mark, functions, saddle, principles, management,
Nearest to engineering: mark, functions, saddle, principles, management, applied,
Nearest to engineering: mark, functions, saddle, principles, management, applied, academics,
Nearest to engineering: mark, functions, saddle, principles, management, applied, academics, statistics,
Nearest to serif: underline,
Nearest to serif: underline, msonormal,
Nearest to serif: underline, msonormal, dbded,
Nearest to serif: underline, msonormal, dbded, windowtext,
Nearest to serif: underline, msonormal, dbded, windowtext, bf,
Nearest to serif: underline, msonormal, dbded, windowtext, bf, onto,
Nearest to serif: underline, msonormal, dbded, windowtext, bf, onto, b,
Nearest to serif: underline, msonormal, dbded, windowtext, bf, onto, b, field,
Nearest to help: developers,
Nearest to help: developers, intramurals,
Nearest to help: developers, intramurals, louis,
Nearest to help: developers, intramurals, louis, appreciate,
Nearest to help: developers, intramurals, louis, appreciate, power,
Nearest to help: developers, intramurals, louis, appreciate, power, millerna,
Nearest to help: developers, intramurals, louis, appreciate, power, millerna, reading,
Nearest to help: developers, intramurals, louis, appreciate, power, millerna, reading, environment,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, fell,
Nearest to cell: imgur, solving, fell, buying,
Nearest to cell: imgur, solving, fell, buying, UNK,
Nearest to cell: imgur, solving, fell, buying, UNK, vacuum,
Nearest to cell: imgur, solving, fell, buying, UNK, vacuum, surveymonkey,
Nearest to cell: imgur, solving, fell, buying, UNK, vacuum, surveymonkey, circle,
Nearest to know: hold,
Nearest to know: hold, anna,
Nearest to know: hold, anna, tell,
Nearest to know: hold, anna, tell, ben,
Nearest to know: hold, anna, tell, ben, safe,
Nearest to know: hold, anna, tell, ben, safe, fafsa,
Nearest to know: hold, anna, tell, ben, safe, fafsa, cookies,
Nearest to know: hold, anna, tell, ben, safe, fafsa, cookies, rush,
Nearest to found: lost,
Nearest to found: lost, nike,
Nearest to found: lost, nike, floor,
Nearest to found: lost, nike, floor, left,
Nearest to found: lost, nike, floor, left, kepchaja,
Nearest to found: lost, nike, floor, left, kepchaja, hall,
Nearest to found: lost, nike, floor, left, kepchaja, hall, lake,
Nearest to found: lost, nike, floor, left, kepchaja, hall, lake, believe,
Nearest to used: statics,
Nearest to used: statics, various,
Nearest to used: statics, various, finish,
Nearest to used: statics, various, finish, eef,
Nearest to used: statics, various, finish, eef, environment,
Nearest to used: statics, various, finish, eef, environment, recreation,
Nearest to used: statics, various, finish, eef, environment, recreation, wall,
Nearest to used: statics, various, finish, eef, environment, recreation, wall, cross,
Nearest to airport: soccer,
Nearest to airport: soccer, fdaaa,
Nearest to airport: soccer, fdaaa, acer,
Nearest to airport: soccer, fdaaa, acer, thursday,
Nearest to airport: soccer, fdaaa, acer, thursday, monday,
Nearest to airport: soccer, fdaaa, acer, thursday, monday, edb,
Nearest to airport: soccer, fdaaa, acer, thursday, monday, edb, sep,
Nearest to airport: soccer, fdaaa, acer, thursday, monday, edb, sep, indy,
Nearest to pm: morning,
Nearest to pm: morning, crosby,
Nearest to pm: morning, crosby, grade,
Nearest to pm: morning, crosby, grade, tahoma,
Nearest to pm: morning, crosby, grade, tahoma, generic,
Nearest to pm: morning, crosby, grade, tahoma, generic, flight,
Nearest to pm: morning, crosby, grade, tahoma, generic, flight, p,
Nearest to pm: morning, crosby, grade, tahoma, generic, flight, p, leave,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, windowtext,
Nearest to underline: msonormal, serif, windowtext, august,
Nearest to underline: msonormal, serif, windowtext, august, anything,
Nearest to underline: msonormal, serif, windowtext, august, anything, b,
Nearest to underline: msonormal, serif, windowtext, august, anything, b, eea,
Nearest to underline: msonormal, serif, windowtext, august, anything, b, eea, sans,
Nearest to percopo: prepare,
Nearest to percopo: prepare, lakeside,
Nearest to percopo: prepare, lakeside, deck,
Nearest to percopo: prepare, lakeside, deck, pockets,
Nearest to percopo: prepare, lakeside, deck, pockets, task,
Nearest to percopo: prepare, lakeside, deck, pockets, task, retirement,
Nearest to percopo: prepare, lakeside, deck, pockets, task, retirement, jpg,
Nearest to percopo: prepare, lakeside, deck, pockets, task, retirement, jpg, internal,
Nearest to div: li,
Nearest to div: li, b,
Nearest to div: li, b, msochpdefault,
Nearest to div: li, b, msochpdefault, eec,
Nearest to div: li, b, msochpdefault, eec, span,
Nearest to div: li, b, msochpdefault, eec, span, externalclasscfbded,
Nearest to div: li, b, msochpdefault, eec, span, externalclasscfbded, couponing,
Nearest to div: li, b, msochpdefault, eec, span, externalclasscfbded, couponing, eb,
Nearest to externalclass: externalclasscfbded,
Nearest to externalclass: externalclasscfbded, externalclassf,
Nearest to externalclass: externalclasscfbded, externalclassf, fcb,
Nearest to externalclass: externalclasscfbded, externalclassf, fcb, c,
Nearest to externalclass: externalclasscfbded, externalclassf, fcb, c, externalclassdf,
Nearest to externalclass: externalclasscfbded, externalclassf, fcb, c, externalclassdf, ebebc,
Nearest to externalclass: externalclasscfbded, externalclassf, fcb, c, externalclassdf, ebebc, b,
Nearest to externalclass: externalclasscfbded, externalclassf, fcb, c, externalclassdf, ebebc, b, bab,
Nearest to free: clear,
Nearest to free: clear, resolution,
Nearest to free: clear, resolution, returned,
Nearest to free: clear, resolution, returned, cbe,
Nearest to free: clear, resolution, returned, cbe, bluetooth,
Nearest to free: clear, resolution, returned, cbe, bluetooth, windows,
Nearest to free: clear, resolution, returned, cbe, bluetooth, windows, wellness,
Nearest to free: clear, resolution, returned, cbe, bluetooth, windows, wellness, listing,
Nearest to margin: externalclasscfbded,
Nearest to margin: externalclasscfbded, dorm,
Nearest to margin: externalclasscfbded, dorm, top,
Nearest to margin: externalclasscfbded, dorm, top, externalclass,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers, sleeping,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers, sleeping, easily,
Nearest to margin: externalclasscfbded, dorm, top, externalclass, drivers, sleeping, easily, bottom,
Average loss at step 42000 : 3.11690880585
Average loss at step 44000 : 3.14218918645
Average loss at step 46000 : 3.06256911141
Average loss at step 48000 : 3.06674993843
Average loss at step 50000 : 3.06553870565
Nearest to family: theta,
Nearest to family: theta, latest,
Nearest to family: theta, latest, station,
Nearest to family: theta, latest, station, business,
Nearest to family: theta, latest, station, business, audrey,
Nearest to family: theta, latest, station, business, audrey, sans,
Nearest to family: theta, latest, station, business, audrey, sans, c,
Nearest to family: theta, latest, station, business, audrey, sans, c, interaction,
Nearest to engineering: mark,
Nearest to engineering: mark, saddle,
Nearest to engineering: mark, saddle, applied,
Nearest to engineering: mark, saddle, applied, principles,
Nearest to engineering: mark, saddle, applied, principles, management,
Nearest to engineering: mark, saddle, applied, principles, management, functions,
Nearest to engineering: mark, saddle, applied, principles, management, functions, academics,
Nearest to engineering: mark, saddle, applied, principles, management, functions, academics, graduate,
Nearest to serif: underline,
Nearest to serif: underline, msonormal,
Nearest to serif: underline, msonormal, f,
Nearest to serif: underline, msonormal, f, windowtext,
Nearest to serif: underline, msonormal, f, windowtext, c,
Nearest to serif: underline, msonormal, f, windowtext, c, b,
Nearest to serif: underline, msonormal, f, windowtext, c, b, dbded,
Nearest to serif: underline, msonormal, f, windowtext, c, b, dbded, bf,
Nearest to help: intramurals,
Nearest to help: intramurals, developers,
Nearest to help: intramurals, developers, someone,
Nearest to help: intramurals, developers, someone, reading,
Nearest to help: intramurals, developers, someone, reading, louis,
Nearest to help: intramurals, developers, someone, reading, louis, millerna,
Nearest to help: intramurals, developers, someone, reading, louis, millerna, power,
Nearest to help: intramurals, developers, someone, reading, louis, millerna, power, fun,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, UNK,
Nearest to cell: imgur, solving, UNK, buying,
Nearest to cell: imgur, solving, UNK, buying, fell,
Nearest to cell: imgur, solving, UNK, buying, fell, claimed,
Nearest to cell: imgur, solving, UNK, buying, fell, claimed, surveymonkey,
Nearest to cell: imgur, solving, UNK, buying, fell, claimed, surveymonkey, step,
Nearest to know: hold,
Nearest to know: hold, anna,
Nearest to know: hold, anna, tell,
Nearest to know: hold, anna, tell, ben,
Nearest to know: hold, anna, tell, ben, fafsa,
Nearest to know: hold, anna, tell, ben, fafsa, safe,
Nearest to know: hold, anna, tell, ben, fafsa, safe, cookies,
Nearest to know: hold, anna, tell, ben, fafsa, safe, cookies, rush,
Nearest to found: lost,
Nearest to found: lost, nike,
Nearest to found: lost, nike, kepchaja,
Nearest to found: lost, nike, kepchaja, seen,
Nearest to found: lost, nike, kepchaja, seen, floor,
Nearest to found: lost, nike, kepchaja, seen, floor, sometime,
Nearest to found: lost, nike, kepchaja, seen, floor, sometime, madness,
Nearest to found: lost, nike, kepchaja, seen, floor, sometime, madness, left,
Nearest to used: statics,
Nearest to used: statics, various,
Nearest to used: statics, various, environment,
Nearest to used: statics, various, environment, finish,
Nearest to used: statics, various, environment, finish, eef,
Nearest to used: statics, various, environment, finish, eef, location,
Nearest to used: statics, various, environment, finish, eef, location, recreation,
Nearest to used: statics, various, environment, finish, eef, location, recreation, audrey,
Nearest to airport: soccer,
Nearest to airport: soccer, fdaaa,
Nearest to airport: soccer, fdaaa, edb,
Nearest to airport: soccer, fdaaa, edb, indy,
Nearest to airport: soccer, fdaaa, edb, indy, sep,
Nearest to airport: soccer, fdaaa, edb, indy, sep, monday,
Nearest to airport: soccer, fdaaa, edb, indy, sep, monday, arriving,
Nearest to airport: soccer, fdaaa, edb, indy, sep, monday, arriving, adc,
Nearest to pm: morning,
Nearest to pm: morning, grade,
Nearest to pm: morning, grade, crosby,
Nearest to pm: morning, grade, crosby, tahoma,
Nearest to pm: morning, grade, crosby, tahoma, p,
Nearest to pm: morning, grade, crosby, tahoma, p, category,
Nearest to pm: morning, grade, crosby, tahoma, p, category, arrives,
Nearest to pm: morning, grade, crosby, tahoma, p, category, arrives, flight,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, b,
Nearest to underline: msonormal, serif, b, windowtext,
Nearest to underline: msonormal, serif, b, windowtext, e,
Nearest to underline: msonormal, serif, b, windowtext, e, august,
Nearest to underline: msonormal, serif, b, windowtext, e, august, sans,
Nearest to underline: msonormal, serif, b, windowtext, e, august, sans, fd,
Nearest to percopo: lakeside,
Nearest to percopo: lakeside, prepare,
Nearest to percopo: lakeside, prepare, deck,
Nearest to percopo: lakeside, prepare, deck, pockets,
Nearest to percopo: lakeside, prepare, deck, pockets, task,
Nearest to percopo: lakeside, prepare, deck, pockets, task, retirement,
Nearest to percopo: lakeside, prepare, deck, pockets, task, retirement, jpg,
Nearest to percopo: lakeside, prepare, deck, pockets, task, retirement, jpg, war,
Nearest to div: li,
Nearest to div: li, msochpdefault,
Nearest to div: li, msochpdefault, span,
Nearest to div: li, msochpdefault, span, b,
Nearest to div: li, msochpdefault, span, b, eec,
Nearest to div: li, msochpdefault, span, b, eec, couponing,
Nearest to div: li, msochpdefault, span, b, eec, couponing, bd,
Nearest to div: li, msochpdefault, span, b, eec, couponing, bd, ends,
Nearest to externalclass: externalclasscfbded,
Nearest to externalclass: externalclasscfbded, externalclassf,
Nearest to externalclass: externalclasscfbded, externalclassf, b,
Nearest to externalclass: externalclasscfbded, externalclassf, b, ebebc,
Nearest to externalclass: externalclasscfbded, externalclassf, b, ebebc, c,
Nearest to externalclass: externalclasscfbded, externalclassf, b, ebebc, c, fdaaa,
Nearest to externalclass: externalclasscfbded, externalclassf, b, ebebc, c, fdaaa, ddd,
Nearest to externalclass: externalclasscfbded, externalclassf, b, ebebc, c, fdaaa, ddd, e,
Nearest to free: clear,
Nearest to free: clear, cbe,
Nearest to free: clear, cbe, resolution,
Nearest to free: clear, cbe, resolution, returned,
Nearest to free: clear, cbe, resolution, returned, bluetooth,
Nearest to free: clear, cbe, resolution, returned, bluetooth, wellness,
Nearest to free: clear, cbe, resolution, returned, bluetooth, wellness, instead,
Nearest to free: clear, cbe, resolution, returned, bluetooth, wellness, instead, windows,
Nearest to margin: externalclasscfbded,
Nearest to margin: externalclasscfbded, sleeping,
Nearest to margin: externalclasscfbded, sleeping, top,
Nearest to margin: externalclasscfbded, sleeping, top, dorm,
Nearest to margin: externalclasscfbded, sleeping, top, dorm, drivers,
Nearest to margin: externalclasscfbded, sleeping, top, dorm, drivers, easily,
Nearest to margin: externalclasscfbded, sleeping, top, dorm, drivers, easily, externalclass,
Nearest to margin: externalclasscfbded, sleeping, top, dorm, drivers, easily, externalclass, pt,
Average loss at step 52000 : 3.03798307073
Average loss at step 54000 : 3.03076866671
Average loss at step 56000 : 3.04034351477
Average loss at step 58000 : 2.99386148727
Average loss at step 60000 : 3.00851644897
Nearest to family: theta,
Nearest to family: theta, latest,
Nearest to family: theta, latest, station,
Nearest to family: theta, latest, station, audrey,
Nearest to family: theta, latest, station, audrey, business,
Nearest to family: theta, latest, station, audrey, business, interaction,
Nearest to family: theta, latest, station, audrey, business, interaction, kroger,
Nearest to family: theta, latest, station, audrey, business, interaction, kroger, decoration,
Nearest to engineering: saddle,
Nearest to engineering: saddle, applied,
Nearest to engineering: saddle, applied, principles,
Nearest to engineering: saddle, applied, principles, academics,
Nearest to engineering: saddle, applied, principles, academics, mark,
Nearest to engineering: saddle, applied, principles, academics, mark, graduate,
Nearest to engineering: saddle, applied, principles, academics, mark, graduate, statistics,
Nearest to engineering: saddle, applied, principles, academics, mark, graduate, statistics, management,
Nearest to serif: underline,
Nearest to serif: underline, msonormal,
Nearest to serif: underline, msonormal, f,
Nearest to serif: underline, msonormal, f, c,
Nearest to serif: underline, msonormal, f, c, windowtext,
Nearest to serif: underline, msonormal, f, c, windowtext, bf,
Nearest to serif: underline, msonormal, f, c, windowtext, bf, dbded,
Nearest to serif: underline, msonormal, f, c, windowtext, bf, dbded, onto,
Nearest to help: intramurals,
Nearest to help: intramurals, developers,
Nearest to help: intramurals, developers, someone,
Nearest to help: intramurals, developers, someone, reading,
Nearest to help: intramurals, developers, someone, reading, millerna,
Nearest to help: intramurals, developers, someone, reading, millerna, louis,
Nearest to help: intramurals, developers, someone, reading, millerna, louis, fun,
Nearest to help: intramurals, developers, someone, reading, millerna, louis, fun, power,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, buying,
Nearest to cell: imgur, solving, buying, fell,
Nearest to cell: imgur, solving, buying, fell, claimed,
Nearest to cell: imgur, solving, buying, fell, claimed, step,
Nearest to cell: imgur, solving, buying, fell, claimed, step, clicking,
Nearest to cell: imgur, solving, buying, fell, claimed, step, clicking, surveymonkey,
Nearest to know: hold,
Nearest to know: hold, tell,
Nearest to know: hold, tell, anna,
Nearest to know: hold, tell, anna, fafsa,
Nearest to know: hold, tell, anna, fafsa, ben,
Nearest to know: hold, tell, anna, fafsa, ben, cookies,
Nearest to know: hold, tell, anna, fafsa, ben, cookies, safe,
Nearest to know: hold, tell, anna, fafsa, ben, cookies, safe, notebook,
Nearest to found: lost,
Nearest to found: lost, nike,
Nearest to found: lost, nike, seen,
Nearest to found: lost, nike, seen, floor,
Nearest to found: lost, nike, seen, floor, kepchaja,
Nearest to found: lost, nike, seen, floor, kepchaja, left,
Nearest to found: lost, nike, seen, floor, kepchaja, left, sometime,
Nearest to found: lost, nike, seen, floor, kepchaja, left, sometime, turned,
Nearest to used: various,
Nearest to used: various, statics,
Nearest to used: various, statics, eef,
Nearest to used: various, statics, eef, environment,
Nearest to used: various, statics, eef, environment, finish,
Nearest to used: various, statics, eef, environment, finish, audrey,
Nearest to used: various, statics, eef, environment, finish, audrey, location,
Nearest to used: various, statics, eef, environment, finish, audrey, location, recreation,
Nearest to airport: soccer,
Nearest to airport: soccer, fdaaa,
Nearest to airport: soccer, fdaaa, sep,
Nearest to airport: soccer, fdaaa, sep, monday,
Nearest to airport: soccer, fdaaa, sep, monday, arriving,
Nearest to airport: soccer, fdaaa, sep, monday, arriving, edb,
Nearest to airport: soccer, fdaaa, sep, monday, arriving, edb, driving,
Nearest to airport: soccer, fdaaa, sep, monday, arriving, edb, driving, indy,
Nearest to pm: morning,
Nearest to pm: morning, crosby,
Nearest to pm: morning, crosby, tahoma,
Nearest to pm: morning, crosby, tahoma, category,
Nearest to pm: morning, crosby, tahoma, category, grade,
Nearest to pm: morning, crosby, tahoma, category, grade, arrives,
Nearest to pm: morning, crosby, tahoma, category, grade, arrives, p,
Nearest to pm: morning, crosby, tahoma, category, grade, arrives, p, generic,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, windowtext,
Nearest to underline: msonormal, serif, windowtext, c,
Nearest to underline: msonormal, serif, windowtext, c, sans,
Nearest to underline: msonormal, serif, windowtext, c, sans, fd,
Nearest to underline: msonormal, serif, windowtext, c, sans, fd, bf,
Nearest to underline: msonormal, serif, windowtext, c, sans, fd, bf, margin,
Nearest to percopo: lakeside,
Nearest to percopo: lakeside, prepare,
Nearest to percopo: lakeside, prepare, deck,
Nearest to percopo: lakeside, prepare, deck, pockets,
Nearest to percopo: lakeside, prepare, deck, pockets, war,
Nearest to percopo: lakeside, prepare, deck, pockets, war, task,
Nearest to percopo: lakeside, prepare, deck, pockets, war, task, west,
Nearest to percopo: lakeside, prepare, deck, pockets, war, task, west, jpg,
Nearest to div: li,
Nearest to div: li, msochpdefault,
Nearest to div: li, msochpdefault, span,
Nearest to div: li, msochpdefault, span, eec,
Nearest to div: li, msochpdefault, span, eec, visited,
Nearest to div: li, msochpdefault, span, eec, visited, bd,
Nearest to div: li, msochpdefault, span, eec, visited, bd, ends,
Nearest to div: li, msochpdefault, span, eec, visited, bd, ends, eb,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, externalclasscfbded,
Nearest to externalclass: externalclassf, externalclasscfbded, c,
Nearest to externalclass: externalclassf, externalclasscfbded, c, ebebc,
Nearest to externalclass: externalclassf, externalclasscfbded, c, ebebc, fb,
Nearest to externalclass: externalclassf, externalclasscfbded, c, ebebc, fb, f,
Nearest to externalclass: externalclassf, externalclasscfbded, c, ebebc, fb, f, ce,
Nearest to externalclass: externalclassf, externalclasscfbded, c, ebebc, fb, f, ce, fdaaa,
Nearest to free: clear,
Nearest to free: clear, instead,
Nearest to free: clear, instead, returned,
Nearest to free: clear, instead, returned, bluetooth,
Nearest to free: clear, instead, returned, bluetooth, cbe,
Nearest to free: clear, instead, returned, bluetooth, cbe, resolution,
Nearest to free: clear, instead, returned, bluetooth, cbe, resolution, sashay,
Nearest to free: clear, instead, returned, bluetooth, cbe, resolution, sashay, wellness,
Nearest to margin: sleeping,
Nearest to margin: sleeping, externalclasscfbded,
Nearest to margin: sleeping, externalclasscfbded, top,
Nearest to margin: sleeping, externalclasscfbded, top, drivers,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, dorm,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, dorm, easily,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, dorm, easily, pt,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, dorm, easily, pt, sans,
Average loss at step 62000 : 3.017565117
Average loss at step 64000 : 2.96040086281
Average loss at step 66000 : 2.96264835924
Average loss at step 68000 : 2.98657257581
Average loss at step 70000 : 2.93987221876
Nearest to family: theta,
Nearest to family: theta, latest,
Nearest to family: theta, latest, station,
Nearest to family: theta, latest, station, audrey,
Nearest to family: theta, latest, station, audrey, business,
Nearest to family: theta, latest, station, audrey, business, interaction,
Nearest to family: theta, latest, station, audrey, business, interaction, decoration,
Nearest to family: theta, latest, station, audrey, business, interaction, decoration, inventory,
Nearest to engineering: saddle,
Nearest to engineering: saddle, applied,
Nearest to engineering: saddle, applied, principles,
Nearest to engineering: saddle, applied, principles, graduate,
Nearest to engineering: saddle, applied, principles, graduate, academics,
Nearest to engineering: saddle, applied, principles, graduate, academics, statistics,
Nearest to engineering: saddle, applied, principles, graduate, academics, statistics, management,
Nearest to engineering: saddle, applied, principles, graduate, academics, statistics, management, mark,
Nearest to serif: underline,
Nearest to serif: underline, msonormal,
Nearest to serif: underline, msonormal, windowtext,
Nearest to serif: underline, msonormal, windowtext, f,
Nearest to serif: underline, msonormal, windowtext, f, dbded,
Nearest to serif: underline, msonormal, windowtext, f, dbded, bf,
Nearest to serif: underline, msonormal, windowtext, f, dbded, bf, onto,
Nearest to serif: underline, msonormal, windowtext, f, dbded, bf, onto, fd,
Nearest to help: intramurals,
Nearest to help: intramurals, someone,
Nearest to help: intramurals, someone, power,
Nearest to help: intramurals, someone, power, reading,
Nearest to help: intramurals, someone, power, reading, millerna,
Nearest to help: intramurals, someone, power, reading, millerna, louis,
Nearest to help: intramurals, someone, power, reading, millerna, louis, developers,
Nearest to help: intramurals, someone, power, reading, millerna, louis, developers, rotation,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, UNK,
Nearest to cell: imgur, solving, UNK, buying,
Nearest to cell: imgur, solving, UNK, buying, fell,
Nearest to cell: imgur, solving, UNK, buying, fell, q,
Nearest to cell: imgur, solving, UNK, buying, fell, q, step,
Nearest to cell: imgur, solving, UNK, buying, fell, q, step, clicking,
Nearest to know: tell,
Nearest to know: tell, hold,
Nearest to know: tell, hold, anna,
Nearest to know: tell, hold, anna, fafsa,
Nearest to know: tell, hold, anna, fafsa, ben,
Nearest to know: tell, hold, anna, fafsa, ben, cookies,
Nearest to know: tell, hold, anna, fafsa, ben, cookies, safe,
Nearest to know: tell, hold, anna, fafsa, ben, cookies, safe, hit,
Nearest to found: lost,
Nearest to found: lost, seen,
Nearest to found: lost, seen, nike,
Nearest to found: lost, seen, nike, kepchaja,
Nearest to found: lost, seen, nike, kepchaja, floor,
Nearest to found: lost, seen, nike, kepchaja, floor, madness,
Nearest to found: lost, seen, nike, kepchaja, floor, madness, turned,
Nearest to found: lost, seen, nike, kepchaja, floor, madness, turned, mistake,
Nearest to used: statics,
Nearest to used: statics, various,
Nearest to used: statics, various, environment,
Nearest to used: statics, various, environment, finish,
Nearest to used: statics, various, environment, finish, eef,
Nearest to used: statics, various, environment, finish, eef, recreation,
Nearest to used: statics, various, environment, finish, eef, recreation, audrey,
Nearest to used: statics, various, environment, finish, eef, recreation, audrey, location,
Nearest to airport: soccer,
Nearest to airport: soccer, fdaaa,
Nearest to airport: soccer, fdaaa, arriving,
Nearest to airport: soccer, fdaaa, arriving, sep,
Nearest to airport: soccer, fdaaa, arriving, sep, monday,
Nearest to airport: soccer, fdaaa, arriving, sep, monday, edb,
Nearest to airport: soccer, fdaaa, arriving, sep, monday, edb, indy,
Nearest to airport: soccer, fdaaa, arriving, sep, monday, edb, indy, adc,
Nearest to pm: morning,
Nearest to pm: morning, tahoma,
Nearest to pm: morning, tahoma, category,
Nearest to pm: morning, tahoma, category, crosby,
Nearest to pm: morning, tahoma, category, crosby, arrives,
Nearest to pm: morning, tahoma, category, crosby, arrives, p,
Nearest to pm: morning, tahoma, category, crosby, arrives, p, grade,
Nearest to pm: morning, tahoma, category, crosby, arrives, p, grade, influence,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, windowtext,
Nearest to underline: msonormal, serif, windowtext, margin,
Nearest to underline: msonormal, serif, windowtext, margin, sans,
Nearest to underline: msonormal, serif, windowtext, margin, sans, calibri,
Nearest to underline: msonormal, serif, windowtext, margin, sans, calibri, c,
Nearest to underline: msonormal, serif, windowtext, margin, sans, calibri, c, fd,
Nearest to percopo: lakeside,
Nearest to percopo: lakeside, deck,
Nearest to percopo: lakeside, deck, prepare,
Nearest to percopo: lakeside, deck, prepare, war,
Nearest to percopo: lakeside, deck, prepare, war, task,
Nearest to percopo: lakeside, deck, prepare, war, task, pockets,
Nearest to percopo: lakeside, deck, prepare, war, task, pockets, west,
Nearest to percopo: lakeside, deck, prepare, war, task, pockets, west, wearing,
Nearest to div: li,
Nearest to div: li, span,
Nearest to div: li, span, msochpdefault,
Nearest to div: li, span, msochpdefault, b,
Nearest to div: li, span, msochpdefault, b, eec,
Nearest to div: li, span, msochpdefault, b, eec, visited,
Nearest to div: li, span, msochpdefault, b, eec, visited, eb,
Nearest to div: li, span, msochpdefault, b, eec, visited, eb, bd,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, externalclasscfbded,
Nearest to externalclass: externalclassf, externalclasscfbded, ebebc,
Nearest to externalclass: externalclassf, externalclasscfbded, ebebc, f,
Nearest to externalclass: externalclassf, externalclasscfbded, ebebc, f, b,
Nearest to externalclass: externalclassf, externalclasscfbded, ebebc, f, b, ddd,
Nearest to externalclass: externalclassf, externalclasscfbded, ebebc, f, b, ddd, aeff,
Nearest to externalclass: externalclassf, externalclasscfbded, ebebc, f, b, ddd, aeff, c,
Nearest to free: clear,
Nearest to free: clear, bluetooth,
Nearest to free: clear, bluetooth, instead,
Nearest to free: clear, bluetooth, instead, cbe,
Nearest to free: clear, bluetooth, instead, cbe, longhj,
Nearest to free: clear, bluetooth, instead, cbe, longhj, resolution,
Nearest to free: clear, bluetooth, instead, cbe, longhj, resolution, wellness,
Nearest to free: clear, bluetooth, instead, cbe, longhj, resolution, wellness, sashay,
Nearest to margin: sleeping,
Nearest to margin: sleeping, top,
Nearest to margin: sleeping, top, externalclasscfbded,
Nearest to margin: sleeping, top, externalclasscfbded, drivers,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, pt,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, pt, dorm,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, pt, dorm, sans,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, pt, dorm, sans, underline,
Average loss at step 72000 : 2.96604223514
Average loss at step 74000 : 2.95119719458
Average loss at step 76000 : 2.91824675316
Average loss at step 78000 : 2.91837686446
Average loss at step 80000 : 2.93021376044
Nearest to family: theta,
Nearest to family: theta, latest,
Nearest to family: theta, latest, station,
Nearest to family: theta, latest, station, audrey,
Nearest to family: theta, latest, station, audrey, decoration,
Nearest to family: theta, latest, station, audrey, decoration, business,
Nearest to family: theta, latest, station, audrey, decoration, business, interaction,
Nearest to family: theta, latest, station, audrey, decoration, business, interaction, inventory,
Nearest to engineering: applied,
Nearest to engineering: applied, saddle,
Nearest to engineering: applied, saddle, graduate,
Nearest to engineering: applied, saddle, graduate, principles,
Nearest to engineering: applied, saddle, graduate, principles, documents,
Nearest to engineering: applied, saddle, graduate, principles, documents, academics,
Nearest to engineering: applied, saddle, graduate, principles, documents, academics, mark,
Nearest to engineering: applied, saddle, graduate, principles, documents, academics, mark, presenting,
Nearest to serif: msonormal,
Nearest to serif: msonormal, underline,
Nearest to serif: msonormal, underline, windowtext,
Nearest to serif: msonormal, underline, windowtext, bf,
Nearest to serif: msonormal, underline, windowtext, bf, f,
Nearest to serif: msonormal, underline, windowtext, bf, f, dbded,
Nearest to serif: msonormal, underline, windowtext, bf, f, dbded, c,
Nearest to serif: msonormal, underline, windowtext, bf, f, dbded, c, onto,
Nearest to help: intramurals,
Nearest to help: intramurals, someone,
Nearest to help: intramurals, someone, reading,
Nearest to help: intramurals, someone, reading, millerna,
Nearest to help: intramurals, someone, reading, millerna, power,
Nearest to help: intramurals, someone, reading, millerna, power, louis,
Nearest to help: intramurals, someone, reading, millerna, power, louis, developers,
Nearest to help: intramurals, someone, reading, millerna, power, louis, developers, dantcm,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, q,
Nearest to cell: imgur, solving, q, buying,
Nearest to cell: imgur, solving, q, buying, fell,
Nearest to cell: imgur, solving, q, buying, fell, clicking,
Nearest to cell: imgur, solving, q, buying, fell, clicking, claimed,
Nearest to cell: imgur, solving, q, buying, fell, clicking, claimed, rate,
Nearest to know: tell,
Nearest to know: tell, hold,
Nearest to know: tell, hold, anna,
Nearest to know: tell, hold, anna, fafsa,
Nearest to know: tell, hold, anna, fafsa, ben,
Nearest to know: tell, hold, anna, fafsa, ben, yuanz,
Nearest to know: tell, hold, anna, fafsa, ben, yuanz, cookies,
Nearest to know: tell, hold, anna, fafsa, ben, yuanz, cookies, safe,
Nearest to found: lost,
Nearest to found: lost, seen,
Nearest to found: lost, seen, nike,
Nearest to found: lost, seen, nike, madness,
Nearest to found: lost, seen, nike, madness, kepchaja,
Nearest to found: lost, seen, nike, madness, kepchaja, floor,
Nearest to found: lost, seen, nike, madness, kepchaja, floor, sometime,
Nearest to found: lost, seen, nike, madness, kepchaja, floor, sometime, steering,
Nearest to used: statics,
Nearest to used: statics, various,
Nearest to used: statics, various, environment,
Nearest to used: statics, various, environment, practically,
Nearest to used: statics, various, environment, practically, eef,
Nearest to used: statics, various, environment, practically, eef, recreation,
Nearest to used: statics, various, environment, practically, eef, recreation, location,
Nearest to used: statics, various, environment, practically, eef, recreation, location, finish,
Nearest to airport: fdaaa,
Nearest to airport: fdaaa, soccer,
Nearest to airport: fdaaa, soccer, arriving,
Nearest to airport: fdaaa, soccer, arriving, sep,
Nearest to airport: fdaaa, soccer, arriving, sep, edb,
Nearest to airport: fdaaa, soccer, arriving, sep, edb, monday,
Nearest to airport: fdaaa, soccer, arriving, sep, edb, monday, indy,
Nearest to airport: fdaaa, soccer, arriving, sep, edb, monday, indy, driving,
Nearest to pm: morning,
Nearest to pm: morning, crosby,
Nearest to pm: morning, crosby, tahoma,
Nearest to pm: morning, crosby, tahoma, flight,
Nearest to pm: morning, crosby, tahoma, flight, arrives,
Nearest to pm: morning, crosby, tahoma, flight, arrives, grade,
Nearest to pm: morning, crosby, tahoma, flight, arrives, grade, influence,
Nearest to pm: morning, crosby, tahoma, flight, arrives, grade, influence, arriving,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, windowtext,
Nearest to underline: msonormal, serif, windowtext, sans,
Nearest to underline: msonormal, serif, windowtext, sans, margin,
Nearest to underline: msonormal, serif, windowtext, sans, margin, bf,
Nearest to underline: msonormal, serif, windowtext, sans, margin, bf, b,
Nearest to underline: msonormal, serif, windowtext, sans, margin, bf, b, calibri,
Nearest to percopo: lakeside,
Nearest to percopo: lakeside, war,
Nearest to percopo: lakeside, war, prepare,
Nearest to percopo: lakeside, war, prepare, deck,
Nearest to percopo: lakeside, war, prepare, deck, west,
Nearest to percopo: lakeside, war, prepare, deck, west, task,
Nearest to percopo: lakeside, war, prepare, deck, west, task, wearing,
Nearest to percopo: lakeside, war, prepare, deck, west, task, wearing, phone,
Nearest to div: li,
Nearest to div: li, span,
Nearest to div: li, span, msochpdefault,
Nearest to div: li, span, msochpdefault, eec,
Nearest to div: li, span, msochpdefault, eec, b,
Nearest to div: li, span, msochpdefault, eec, b, visited,
Nearest to div: li, span, msochpdefault, eec, b, visited, eb,
Nearest to div: li, span, msochpdefault, eec, b, visited, eb, bd,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, externalclasscfbded,
Nearest to externalclass: externalclassf, externalclasscfbded, b,
Nearest to externalclass: externalclassf, externalclasscfbded, b, f,
Nearest to externalclass: externalclassf, externalclasscfbded, b, f, ebebc,
Nearest to externalclass: externalclassf, externalclasscfbded, b, f, ebebc, externalclassdf,
Nearest to externalclass: externalclassf, externalclasscfbded, b, f, ebebc, externalclassdf, fb,
Nearest to externalclass: externalclassf, externalclasscfbded, b, f, ebebc, externalclassdf, fb, fbc,
Nearest to free: clear,
Nearest to free: clear, bluetooth,
Nearest to free: clear, bluetooth, instead,
Nearest to free: clear, bluetooth, instead, sashay,
Nearest to free: clear, bluetooth, instead, sashay, cbe,
Nearest to free: clear, bluetooth, instead, sashay, cbe, longhj,
Nearest to free: clear, bluetooth, instead, sashay, cbe, longhj, resolution,
Nearest to free: clear, bluetooth, instead, sashay, cbe, longhj, resolution, wellness,
Nearest to margin: sleeping,
Nearest to margin: sleeping, externalclasscfbded,
Nearest to margin: sleeping, externalclasscfbded, top,
Nearest to margin: sleeping, externalclasscfbded, top, msonormal,
Nearest to margin: sleeping, externalclasscfbded, top, msonormal, pt,
Nearest to margin: sleeping, externalclasscfbded, top, msonormal, pt, drivers,
Nearest to margin: sleeping, externalclasscfbded, top, msonormal, pt, drivers, underline,
Nearest to margin: sleeping, externalclasscfbded, top, msonormal, pt, drivers, underline, sans,
Average loss at step 82000 : 2.92459851122
Average loss at step 84000 : 2.90630262828
Average loss at step 86000 : 2.93822360212
Average loss at step 88000 : 2.90336518288
Average loss at step 90000 : 2.87907069296
Nearest to family: theta,
Nearest to family: theta, station,
Nearest to family: theta, station, audrey,
Nearest to family: theta, station, audrey, latest,
Nearest to family: theta, station, audrey, latest, decoration,
Nearest to family: theta, station, audrey, latest, decoration, inventory,
Nearest to family: theta, station, audrey, latest, decoration, inventory, interaction,
Nearest to family: theta, station, audrey, latest, decoration, inventory, interaction, business,
Nearest to engineering: applied,
Nearest to engineering: applied, saddle,
Nearest to engineering: applied, saddle, graduate,
Nearest to engineering: applied, saddle, graduate, principles,
Nearest to engineering: applied, saddle, graduate, principles, documents,
Nearest to engineering: applied, saddle, graduate, principles, documents, academics,
Nearest to engineering: applied, saddle, graduate, principles, documents, academics, statistics,
Nearest to engineering: applied, saddle, graduate, principles, documents, academics, statistics, materials,
Nearest to serif: msonormal,
Nearest to serif: msonormal, underline,
Nearest to serif: msonormal, underline, windowtext,
Nearest to serif: msonormal, underline, windowtext, f,
Nearest to serif: msonormal, underline, windowtext, f, bf,
Nearest to serif: msonormal, underline, windowtext, f, bf, dbded,
Nearest to serif: msonormal, underline, windowtext, f, bf, dbded, b,
Nearest to serif: msonormal, underline, windowtext, f, bf, dbded, b, onto,
Nearest to help: intramurals,
Nearest to help: intramurals, someone,
Nearest to help: intramurals, someone, millerna,
Nearest to help: intramurals, someone, millerna, power,
Nearest to help: intramurals, someone, millerna, power, dantcm,
Nearest to help: intramurals, someone, millerna, power, dantcm, reading,
Nearest to help: intramurals, someone, millerna, power, dantcm, reading, developers,
Nearest to help: intramurals, someone, millerna, power, dantcm, reading, developers, louis,
Nearest to cell: imgur,
Nearest to cell: imgur, solving,
Nearest to cell: imgur, solving, UNK,
Nearest to cell: imgur, solving, UNK, q,
Nearest to cell: imgur, solving, UNK, q, buying,
Nearest to cell: imgur, solving, UNK, q, buying, fell,
Nearest to cell: imgur, solving, UNK, q, buying, fell, clicking,
Nearest to cell: imgur, solving, UNK, q, buying, fell, clicking, rate,
Nearest to know: tell,
Nearest to know: tell, anna,
Nearest to know: tell, anna, hold,
Nearest to know: tell, anna, hold, fafsa,
Nearest to know: tell, anna, hold, fafsa, ben,
Nearest to know: tell, anna, hold, fafsa, ben, yuanz,
Nearest to know: tell, anna, hold, fafsa, ben, yuanz, circular,
Nearest to know: tell, anna, hold, fafsa, ben, yuanz, circular, hit,
Nearest to found: lost,
Nearest to found: lost, seen,
Nearest to found: lost, seen, nike,
Nearest to found: lost, seen, nike, madness,
Nearest to found: lost, seen, nike, madness, kepchaja,
Nearest to found: lost, seen, nike, madness, kepchaja, bracelet,
Nearest to found: lost, seen, nike, madness, kepchaja, bracelet, mistake,
Nearest to found: lost, seen, nike, madness, kepchaja, bracelet, mistake, steering,
Nearest to used: statics,
Nearest to used: statics, environment,
Nearest to used: statics, environment, various,
Nearest to used: statics, environment, various, practically,
Nearest to used: statics, environment, various, practically, finish,
Nearest to used: statics, environment, various, practically, finish, eef,
Nearest to used: statics, environment, various, practically, finish, eef, excited,
Nearest to used: statics, environment, various, practically, finish, eef, excited, location,
Nearest to airport: fdaaa,
Nearest to airport: fdaaa, arriving,
Nearest to airport: fdaaa, arriving, sep,
Nearest to airport: fdaaa, arriving, sep, edb,
Nearest to airport: fdaaa, arriving, sep, edb, soccer,
Nearest to airport: fdaaa, arriving, sep, edb, soccer, monday,
Nearest to airport: fdaaa, arriving, sep, edb, soccer, monday, indy,
Nearest to airport: fdaaa, arriving, sep, edb, soccer, monday, indy, mass,
Nearest to pm: morning,
Nearest to pm: morning, p,
Nearest to pm: morning, p, crosby,
Nearest to pm: morning, p, crosby, influence,
Nearest to pm: morning, p, crosby, influence, flight,
Nearest to pm: morning, p, crosby, influence, flight, grade,
Nearest to pm: morning, p, crosby, influence, flight, grade, tahoma,
Nearest to pm: morning, p, crosby, influence, flight, grade, tahoma, arrives,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, windowtext,
Nearest to underline: msonormal, serif, windowtext, margin,
Nearest to underline: msonormal, serif, windowtext, margin, sans,
Nearest to underline: msonormal, serif, windowtext, margin, sans, b,
Nearest to underline: msonormal, serif, windowtext, margin, sans, b, posted,
Nearest to underline: msonormal, serif, windowtext, margin, sans, b, posted, calibri,
Nearest to percopo: lakeside,
Nearest to percopo: lakeside, war,
Nearest to percopo: lakeside, war, prepare,
Nearest to percopo: lakeside, war, prepare, west,
Nearest to percopo: lakeside, war, prepare, west, deck,
Nearest to percopo: lakeside, war, prepare, west, deck, triplets,
Nearest to percopo: lakeside, war, prepare, west, deck, triplets, task,
Nearest to percopo: lakeside, war, prepare, west, deck, triplets, task, wearing,
Nearest to div: li,
Nearest to div: li, span,
Nearest to div: li, span, msochpdefault,
Nearest to div: li, span, msochpdefault, b,
Nearest to div: li, span, msochpdefault, b, eec,
Nearest to div: li, span, msochpdefault, b, eec, visited,
Nearest to div: li, span, msochpdefault, b, eec, visited, eb,
Nearest to div: li, span, msochpdefault, b, eec, visited, eb, externalclass,
Nearest to externalclass: externalclassf,
Nearest to externalclass: externalclassf, externalclasscfbded,
Nearest to externalclass: externalclassf, externalclasscfbded, b,
Nearest to externalclass: externalclassf, externalclasscfbded, b, ebebc,
Nearest to externalclass: externalclassf, externalclasscfbded, b, ebebc, fbc,
Nearest to externalclass: externalclassf, externalclasscfbded, b, ebebc, fbc, fdaaa,
Nearest to externalclass: externalclassf, externalclasscfbded, b, ebebc, fbc, fdaaa, fb,
Nearest to externalclass: externalclassf, externalclasscfbded, b, ebebc, fbc, fdaaa, fb, externalclassdf,
Nearest to free: clear,
Nearest to free: clear, bluetooth,
Nearest to free: clear, bluetooth, sashay,
Nearest to free: clear, bluetooth, sashay, cbe,
Nearest to free: clear, bluetooth, sashay, cbe, longhj,
Nearest to free: clear, bluetooth, sashay, cbe, longhj, instead,
Nearest to free: clear, bluetooth, sashay, cbe, longhj, instead, wellness,
Nearest to free: clear, bluetooth, sashay, cbe, longhj, instead, wellness, returned,
Nearest to margin: sleeping,
Nearest to margin: sleeping, top,
Nearest to margin: sleeping, top, externalclasscfbded,
Nearest to margin: sleeping, top, externalclasscfbded, drivers,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, msonormal,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, msonormal, sans,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, msonormal, sans, font,
Nearest to margin: sleeping, top, externalclasscfbded, drivers, msonormal, sans, font, underline,
Average loss at step 92000 : 2.90463174236
Average loss at step 94000 : 2.89727564466
Average loss at step 96000 : 2.86044349223
Average loss at step 98000 : 2.90248500293
Average loss at step 100000 : 2.91740509504
Nearest to family: theta,
Nearest to family: theta, decoration,
Nearest to family: theta, decoration, audrey,
Nearest to family: theta, decoration, audrey, latest,
Nearest to family: theta, decoration, audrey, latest, station,
Nearest to family: theta, decoration, audrey, latest, station, inventory,
Nearest to family: theta, decoration, audrey, latest, station, inventory, interaction,
Nearest to family: theta, decoration, audrey, latest, station, inventory, interaction, kroger,
Nearest to engineering: applied,
Nearest to engineering: applied, saddle,
Nearest to engineering: applied, saddle, graduate,
Nearest to engineering: applied, saddle, graduate, documents,
Nearest to engineering: applied, saddle, graduate, documents, statistics,
Nearest to engineering: applied, saddle, graduate, documents, statistics, principles,
Nearest to engineering: applied, saddle, graduate, documents, statistics, principles, dynamics,
Nearest to engineering: applied, saddle, graduate, documents, statistics, principles, dynamics, academics,
Nearest to serif: msonormal,
Nearest to serif: msonormal, underline,
Nearest to serif: msonormal, underline, c,
Nearest to serif: msonormal, underline, c, windowtext,
Nearest to serif: msonormal, underline, c, windowtext, b,
Nearest to serif: msonormal, underline, c, windowtext, b, bf,
Nearest to serif: msonormal, underline, c, windowtext, b, bf, f,
Nearest to serif: msonormal, underline, c, windowtext, b, bf, f, fd,
Nearest to help: intramurals,
Nearest to help: intramurals, someone,
Nearest to help: intramurals, someone, millerna,
Nearest to help: intramurals, someone, millerna, developers,
Nearest to help: intramurals, someone, millerna, developers, UNK,
Nearest to help: intramurals, someone, millerna, developers, UNK, dantcm,
Nearest to help: intramurals, someone, millerna, developers, UNK, dantcm, reading,
Nearest to help: intramurals, someone, millerna, developers, UNK, dantcm, reading, component,
Nearest to cell: imgur,
Nearest to cell: imgur, q,
Nearest to cell: imgur, q, solving,
Nearest to cell: imgur, q, solving, buying,
Nearest to cell: imgur, q, solving, buying, rate,
Nearest to cell: imgur, q, solving, buying, rate, clicking,
Nearest to cell: imgur, q, solving, buying, rate, clicking, fell,
Nearest to cell: imgur, q, solving, buying, rate, clicking, fell, msochpdefault,
Nearest to know: tell,
Nearest to know: tell, ben,
Nearest to know: tell, ben, fafsa,
Nearest to know: tell, ben, fafsa, anna,
Nearest to know: tell, ben, fafsa, anna, hold,
Nearest to know: tell, ben, fafsa, anna, hold, say,
Nearest to know: tell, ben, fafsa, anna, hold, say, yuanz,
Nearest to know: tell, ben, fafsa, anna, hold, say, yuanz, notebook,
Nearest to found: lost,
Nearest to found: lost, seen,
Nearest to found: lost, seen, nike,
Nearest to found: lost, seen, nike, madness,
Nearest to found: lost, seen, nike, madness, kepchaja,
Nearest to found: lost, seen, nike, madness, kepchaja, mistake,
Nearest to found: lost, seen, nike, madness, kepchaja, mistake, baa,
Nearest to found: lost, seen, nike, madness, kepchaja, mistake, baa, bracelet,
Nearest to used: environment,
Nearest to used: environment, various,
Nearest to used: environment, various, statics,
Nearest to used: environment, various, statics, location,
Nearest to used: environment, various, statics, location, finish,
Nearest to used: environment, various, statics, location, finish, practically,
Nearest to used: environment, various, statics, location, finish, practically, laundry,
Nearest to used: environment, various, statics, location, finish, practically, laundry, recreation,
Nearest to airport: arriving,
Nearest to airport: arriving, sep,
Nearest to airport: arriving, sep, fdaaa,
Nearest to airport: arriving, sep, fdaaa, indy,
Nearest to airport: arriving, sep, fdaaa, indy, edb,
Nearest to airport: arriving, sep, fdaaa, indy, edb, monday,
Nearest to airport: arriving, sep, fdaaa, indy, edb, monday, soccer,
Nearest to airport: arriving, sep, fdaaa, indy, edb, monday, soccer, mass,
Nearest to pm: morning,
Nearest to pm: morning, influence,
Nearest to pm: morning, influence, crosby,
Nearest to pm: morning, influence, crosby, p,
Nearest to pm: morning, influence, crosby, p, grade,
Nearest to pm: morning, influence, crosby, p, grade, tahoma,
Nearest to pm: morning, influence, crosby, p, grade, tahoma, flight,
Nearest to pm: morning, influence, crosby, p, grade, tahoma, flight, kahn,
Nearest to underline: msonormal,
Nearest to underline: msonormal, serif,
Nearest to underline: msonormal, serif, windowtext,
Nearest to underline: msonormal, serif, windowtext, c,
Nearest to underline: msonormal, serif, windowtext, c, b,
Nearest to underline: msonormal, serif, windowtext, c, b, fd,
Nearest to underline: msonormal, serif, windowtext, c, b, fd, margin,
Nearest to underline: msonormal, serif, windowtext, c, b, fd, margin, sans,
Nearest to percopo: lakeside,
Nearest to percopo: lakeside, war,
Nearest to percopo: lakeside, war, prepare,
Nearest to percopo: lakeside, war, prepare, gun,
Nearest to percopo: lakeside, war, prepare, gun, triplets,
Nearest to percopo: lakeside, war, prepare, gun, triplets, task,
Nearest to percopo: lakeside, war, prepare, gun, triplets, task, west,
Nearest to percopo: lakeside, war, prepare, gun, triplets, task, west, deck,
Nearest to div: li,
Nearest to div: li, span,
Nearest to div: li, span, msochpdefault,
Nearest to div: li, span, msochpdefault, b,
Nearest to div: li, span, msochpdefault, b, visited,
Nearest to div: li, span, msochpdefault, b, visited, eec,
Nearest to div: li, span, msochpdefault, b, visited, eec, f,
Nearest to div: li, span, msochpdefault, b, visited, eec, f, eb,
Nearest to externalclass: externalclasscfbded,
Nearest to externalclass: externalclasscfbded, externalclassf,
Nearest to externalclass: externalclasscfbded, externalclassf, b,
Nearest to externalclass: externalclasscfbded, externalclassf, b, c,
Nearest to externalclass: externalclasscfbded, externalclassf, b, c, ebebc,
Nearest to externalclass: externalclasscfbded, externalclassf, b, c, ebebc, externalclassdf,
Nearest to externalclass: externalclasscfbded, externalclassf, b, c, ebebc, externalclassdf, fdaaa,
Nearest to externalclass: externalclasscfbded, externalclassf, b, c, ebebc, externalclassdf, fdaaa, dad,
Nearest to free: clear,
Nearest to free: clear, bluetooth,
Nearest to free: clear, bluetooth, sashay,
Nearest to free: clear, bluetooth, sashay, cbe,
Nearest to free: clear, bluetooth, sashay, cbe, instead,
Nearest to free: clear, bluetooth, sashay, cbe, instead, chris,
Nearest to free: clear, bluetooth, sashay, cbe, instead, chris, longhj,
Nearest to free: clear, bluetooth, sashay, cbe, instead, chris, longhj, jpeg,
Nearest to margin: sleeping,
Nearest to margin: sleeping, externalclasscfbded,
Nearest to margin: sleeping, externalclasscfbded, top,
Nearest to margin: sleeping, externalclasscfbded, top, drivers,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, pt,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, pt, sans,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, pt, sans, msonormal,
Nearest to margin: sleeping, externalclasscfbded, top, drivers, pt, sans, msonormal, font,
In [35]:
from sklearn.manifold import TSNE
import matplotlib
import matplotlib.pyplot as plt
%pylab inline
# Step 6: Visualize the embeddings.
def plot_with_labels(low_dim_embs, labels, filename='test.png'):
assert low_dim_embs.shape[0] >= len(labels), "More labels than embeddings"
plt.figure(figsize=(18, 18)) #in inches
for i, label in enumerate(labels):
x, y = low_dim_embs[i,:]
plt.scatter(x, y)
plt.annotate(label,
xy=(x, y),
xytext=(5, 2),
textcoords='offset points',
ha='right',
va='bottom')
plt.savefig(filename)
Populating the interactive namespace from numpy and matplotlib
WARNING: pylab import has clobbered these variables: ['step', 'random', 'norm']
`%matplotlib` prevents importing * from pylab and numpy
In [36]:
tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)
plot_only = 500
low_dim_embs = tsne.fit_transform(final_embeddings[:plot_only,:])
labels = [reverse_dictionary[i] for i in xrange(plot_only)]
len(labels)
low_dim_embs.shape
Out[36]:
(500, 2)
In [37]:
def findembeding(word):
if word in dictionary:
value = dictionary[word]
#print('in dict:%d',value)
return final_embeddings[value]
else:
#print('not in dict')
return final_embeddings[0]
In [38]:
#represent an email with a 128 dimension vector
def meanonemail(i):
onelist = []
result = np.ones(128)
result = np.append([result], [result], axis=0)
array = sentence_to_words(titles[i][0])
onelist.extend(array)
if(isinstance(body[i][0], str)):
array = sentence_to_words(body[i][0])
onelist.extend(array)
N = len(onelist)
# print(onelist)
for count in range(N):
word = onelist[count]
embed = findembeding(word)
result = np.append(result, [embed], axis=0)
row = result.shape[0]
result = result[2:row]
return np.mean(result, axis=0)
In [41]:
result1 = meanonemail(0)
result1.shape
Out[41]:
(128,)
In [43]:
#this result should be saved
def representeveryemail():
result = []
for i in range(N):
#print(i)
result.append(meanonemail(i))
return result
In [44]:
result = representeveryemail()
In [45]:
import csv
In [46]:
with open('email.csv', 'w') as mycsvfile:
thedatawriter = csv.writer(mycsvfile)
for row in result:
thedatawriter.writerow(row)
In [47]:
def findnearest(index):
distancelist = []
if(index == 0):
for i in range(N-1):
#print(i+1)
dis = numpy.linalg.norm(meanonemail(0)-meanonemail(i+1))
distancelist.append(dis)
else:
for i in range(index):
#print(i)
dis = numpy.linalg.norm(meanonemail(index)-meanonemail(i))
distancelist.append(dis)
for i in range(N-index-1):
#print(i+index+1)
dis = numpy.linalg.norm(meanonemail(index)-meanonemail(i+index+1))
distancelist.append(dis)
ind = np.argmin(distancelist)
print('original email')
print(body[index][0])
print('nearest email found')
print(body[ind][0])
#return distancelist
In [48]:
findnearest(700)
original email
Selling SAW video game for the PS3, I have gotten all of the enjoyment i can out of this game and have not picked it up in a while. The game still works and I'm asking for about 20$ rather not go any lower than that but will entertain offers.
nearest email found
I'm looking for someone to practice playing tennis with during the weekends over the summer. All levels are welcome! If interested, please contact me at caijy@rose-hulman.edu or 6462097956
In [ ]:
Content source: RunZGit/Magicmail
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