(Alpha) <TF-IDF Vector> + (1-Alpha) <NER Vector>
Describing parameters:
In [1]:
PATH_NEWS_ARTICLES="/home/phoenix/Documents/HandsOn/Final/news_articles.csv"
ARTICLES_READ=[4,5,7,8]
NUM_RECOMMENDED_ARTICLES=5
ALPHA = 0.5
In [2]:
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import re
from nltk.stem.snowball import SnowballStemmer
import nltk
import numpy
from nltk import word_tokenize, pos_tag, ne_chunk
from nltk.chunk import tree2conlltags
stemmer = SnowballStemmer("english")
In [3]:
news_articles = pd.read_csv(PATH_NEWS_ARTICLES)
news_articles.head()
Out[3]:
Article_Id
Title
Author
Date
Content
URL
0
0
14 dead after bus falls into canal in Telangan...
Devyani Sultania
August 22, 2016 12:34 IST
At least 14 people died and 17 others were inj...
http://www.ibtimes.co.in/14-dead-after-bus-fal...
1
1
Pratibha Tiwari molested on busy road Saath ...
Suparno Sarkar
August 22, 2016 19:47 IST
TV actress Pratibha Tiwari who is best known ...
NaN
2
2
US South Korea begin joint military drill ami...
Namrata Tripathi
August 22, 2016 18:10 IST
The United States and South Korea began a join...
http://www.ibtimes.co.in/us-south-korea-begin-...
3
3
Illegal construction in Bengaluru Will my hou...
S V Krishnamachari
August 22, 2016 17:39 IST
The relentless drive by Bengaluru s Bangalore...
http://www.ibtimes.co.in/illegal-construction-...
4
4
Punjab Gau Rakshak Dal chief held for assaulti...
Pranshu Rathee
August 22, 2016 17:34 IST
Punjab Gau Raksha Dal chief Satish Kumar and h...
http://www.ibtimes.co.in/punjab-gau-rakshak-da...
In [4]:
#Select relevant columns and remove rows with missing values
news_articles = news_articles[['Article_Id','Title','Content']].dropna()
articles = news_articles['Content'].tolist()
articles[0] #an uncleaned article
Out[4]:
'At least 14 people died and 17 others were injured after a bus travelling from Hyderabad to Kakinada plunged into a canal from a bridge on the accident-prone stretch of the Hyderabad-Khammam highway in Telangana early Monday morning \nThe injured were admitted to the Government General Hospital for treatment \n\n\nSeven people died on the spot and the others succumbed to injuries while undergoing treatment at the hospital The passengers belonged to the East and West Godavari districts of Andhra Pradesh \nThe bus owned by private operator Yatra Genie commenced its journey from Hyderabad at 11 30 p m on Sunday Khammam Superintendent of Police Shah Nawaz Khan was quoted by the Hindustan Times as saying \nThe accident happened around 2 30 a m when the driver slammed the brakes to avoid a collision with another vehicle coming from the opposite direction on a bridge over Nagarjunsagar project left canal at Nayankangudem village in Khammam district the daily reported The bus hit the parapet wall of the bridge and nose-dived into the canal \nThe driver of the bus was apparently driving at high speed due to which he lost control of the vehicle following which it fell into the canal under Kusumanchi mandal the Deccan Herald reported \nTravellers immediately informed the police who rushed to the accident scene and began the rescue operations '
In [5]:
def clean_tokenize(document):
document = re.sub('[^\w_\s-]', ' ',document) #remove punctuation marks and other symbols
tokens = nltk.word_tokenize(document) #Tokenize sentences
cleaned_article = ' '.join([stemmer.stem(item) for item in tokens]) #Stemming each token
return cleaned_article
In [6]:
cleaned_articles = map(clean_tokenize, articles)
cleaned_articles[0] #a cleaned, tokenized and stemmed article
Out[6]:
u'at least 14 peopl die and 17 other were injur after a bus travel from hyderabad to kakinada plung into a canal from a bridg on the accident-pron stretch of the hyderabad-khammam highway in telangana earli monday morn the injur were admit to the govern general hospit for treatment seven peopl die on the spot and the other succumb to injuri while undergo treatment at the hospit the passeng belong to the east and west godavari district of andhra pradesh the bus own by privat oper yatra geni commenc it journey from hyderabad at 11 30 p m on sunday khammam superintend of polic shah nawaz khan was quot by the hindustan time as say the accid happen around 2 30 a m when the driver slam the brake to avoid a collis with anoth vehicl come from the opposit direct on a bridg over nagarjunsagar project left canal at nayankangudem villag in khammam district the daili report the bus hit the parapet wall of the bridg and nose-div into the canal the driver of the bus was appar drive at high speed due to which he lost control of the vehicl follow which it fell into the canal under kusumanchi mandal the deccan herald report travel immedi inform the polic who rush to the accid scene and began the rescu oper'
In [7]:
#Generate tfidf matrix model
tfidf_matrix = TfidfVectorizer(stop_words='english', min_df=2)
articles_tfidf_matrix = tfidf_matrix.fit_transform(cleaned_articles)
articles_tfidf_matrix #tfidf vector of an article
Out[7]:
<4831x16009 sparse matrix of type '<type 'numpy.float64'>'
with 468648 stored elements in Compressed Sparse Row format>
Represent user in terms of -
(Alpha) [TF-IDF Vector] + (1-Alpha) [NER Vector]
where
Alpha => [0,1]
[TF-IDF Vector] => TF-IDF vector representation of concatenated read articles
[NER Vector] => TF-IDF vector representation of NERs associated with concatenated read articles
In [8]:
def get_ner(article):
ne_tree = ne_chunk(pos_tag(word_tokenize(article)))
iob_tagged = tree2conlltags(ne_tree)
ner_token = ' '.join([token for token,pos,ner_tag in iob_tagged if not ner_tag==u'O']) #Discarding tokens with 'Other' tag
return ner_token
In [9]:
#Represent user in terms of cleaned content of read articles
user_articles = ' '.join(cleaned_articles[i] for i in ARTICLES_READ)
print "User Article =>", user_articles
print '\n'
#Represent user in terms of NERs assciated with read articles
user_articles_ner = ' '.join([get_ner(articles[i]) for i in ARTICLES_READ])
print "NERs of Read Article =>", user_articles_ner
User Article => punjab gau raksha dal chief satish kumar and his accomplic were remand to a day s polic custodi by a patiala court on sunday the polic said satish and his aid were respons for wrong restraint extort loot assault and sodomis cattl trader his two accomplic arun kumar alia anu and kapil kumar alia gauri both resid of rajpura were also arrest along with satish in vrindavan on saturday satish was book under section 323 324 341 342 382 384 148 149 and 506 of the ipc at the rajpura polic station on aug 8 after video of him assault cattl trader were found on social media satish had been on the run after section 377 sodomi of the indian penal code was ad in the first inform report fir against him 10 day ago the charg were ad after two victim imran and naseem both resid of saharanpur in uttar pradesh complain against the cow vigilant the polic said that they are attempt to probe satish s properti in ambala and other district of haryana as they suspect it was financ through money extort from cattl trader satish point to a state sponsor conspiraci against him as he claim that the punjab govern was target him to pleas prime minist narendra modi it all start after modi s statement against cow protector the pm want to pleas voter in uttar pradesh by encourag cow killer satish was quot say by the hindustan time philippin polic on monday said that the number of drug-rel death have doubl to about 1 800 sinc presid rodrigo dutert assum offic in june even as he threaten on sunday to pull out of the unit nation un and invit china and other to form a new organis he made these comment in respons to two unit nation human right expert slam the newli form govern for encourag extra-judici kill to erad the drug menac in the philippin dutert s comment i will prove to the world that you are a veri stupid expert i do not want to insult you but mayb we ll just have to decid to separ from the unit nation whi do you have to listen to this stupid said presid dutert in a middle-of-the-night news confer in his home town davao as he urg his critic to count not just the number of drug-rel death but also the innoc live lost to drug he continu critic the unit nation say it was not abl to fulfil it own mandat but was instead worri about the bone of crimin pile up 6 7 prime minist narendra modi has express deep concern and pain at the unrest and unab violenc in kashmir modi has urg all polit parti to unanim support a perman and last solut within the framework of the constitut to the problem of jammu and kashmir prime minist modi highlight the need for dialogu for restor of normalci in the valley as the unrest that began sinc the kill of hizb-ul-mujahideen leader burhan wani on juli 8 enter the 45th day so far 68 peopl have been kill a 75-minute-long meet with a joint 20-member opposit deleg that was led by former j k chief minist omar abdullah and addit compris seven of abdullah s nation confer mlas along with congress legisl led by pcc chief g a mir and cpi m mla m y tarigami present a memorandum to prime minist modi they collect made an appeal for a polit approach to resolv the crisi in the valley and to ensur that the mistak of the past are not repeat modi appreci the construct suggest and reiter his govern s commit to the welfar and develop of the peopl of kashmir and said those who lost their live dure recent disturb are part of us our nation whether the live lost are of our youth secur personnel or polic it distress us govern and the nation stand with the state of jammu and kashmir 10 11 12 13 14 15 a school bus in the town of bishnah in jammu skid off the road kill a girl child and injur 16 other two of whom are critic injur the driver is said to have lost control of the bus the district collector has order a magisteri inquiri twelve-year-old khushboo lost her life while 16 other were wound doctor have refer six critic injur student to govern medic colleg hospit in jammu citi a polic offici was quot by ian as say the chief medic offic of jammu rush three ambul to bishnah on be inform about the accid so that the student could be sent to the hospit without delay
NERs of Read Article => Punjab Gau Raksha Dal Satish Kumar Patiala Satish Arun Kumar Kapil Kumar Gauri Rajpura Satish Vrindavan Satish IPC Rajpura Satish Indian Penal Code FIR Imran Naseem Saharanpur Uttar Pradesh Satish Ambala Haryana Satish Punjab Narendra Modi Modi PM Uttar Satish Hindustan Times Rodrigo Duterte United Nations China United Nations Philippines Duterte United Nations Duterte Davao United Nations Narendra Modi Kashmir Modi Jammu Kashmir Modi Burhan Wani Omar Abdullah Abdullah National Conference Congress PCC CPI Tarigami Valley Modi Kashmir Jammu Kashmir Bishnah Jammu District Collector Khushboo College Hospital Jammu IANS Jammu
In [10]:
#Get vector representation for both of the user read article representation
user_articles_tfidf_vector = tfidf_matrix.transform([user_articles])
user_articles_ner_tfidf_vector = tfidf_matrix.transform([user_articles_ner])
user_articles_tfidf_vector
Out[10]:
<1x16009 sparse matrix of type '<type 'numpy.float64'>'
with 292 stored elements in Compressed Sparse Row format>
In [11]:
# User_Vector => (Alpha) [TF-IDF Vector] + (1-Alpha) [NER Vector]
alpha_tfidf_vector = ALPHA * user_articles_tfidf_vector
alpha_ner_vector = (1-ALPHA) * user_articles_ner_tfidf_vector
user_vector = np.sum(zip(alpha_tfidf_vector,alpha_ner_vector))
user_vector
Out[11]:
<1x16009 sparse matrix of type '<type 'numpy.float64'>'
with 295 stored elements in Compressed Sparse Row format>
In [12]:
user_vector.toarray()
Out[12]:
array([[ 0., 0., 0., ..., 0., 0., 0.]])
In [13]:
def calculate_cosine_similarity(articles_tfidf_matrix, user_vector):
articles_similarity_score=cosine_similarity(articles_tfidf_matrix, user_vector.toarray())
recommended_articles_id = articles_similarity_score.flatten().argsort()[::-1]
#Remove read articles from recommendations
final_recommended_articles_id = [article_id for article_id in recommended_articles_id
if article_id not in ARTICLES_READ ][:NUM_RECOMMENDED_ARTICLES]
return final_recommended_articles_id
In [14]:
recommended_articles_id = calculate_cosine_similarity(articles_tfidf_matrix, user_vector)
recommended_articles_id
Out[14]:
[3742, 2724, 3053, 2862, 2811]
In [15]:
#Recommended Articles and their title
#df_news = pd.read_csv(PATH_NEWS_ARTICLES)
print 'Articles Read'
print news_articles.loc[news_articles['Article_Id'].isin(ARTICLES_READ)]['Title']
print '\n'
print 'Recommender '
print news_articles.loc[news_articles['Article_Id'].isin(recommended_articles_id)]['Title']
Articles Read
4 Punjab Gau Rakshak Dal chief held for assaulti...
5 Phillipines drug war 1 800 drug-related death...
7 Dialogue crucial in finding permanent solution...
8 School bus overturns in Jammu killing 1 and in...
Name: Title, dtype: object
Recommender
2724 PM Modi says at all-party meeting that PoK is ...
2811 Kashmir tense after Hizbul Mujahideen militant...
2862 J K PM Modi appeals for peace in Valley assu...
3053 Jammu Kashmir Pakistan Isis Flags Waved in...
3742 Narendra Modi Likely to Announce 70 000 Cror...
Name: Title, dtype: object
In [16]:
ALPHA = 0
alpha_tfidf_vector = ALPHA *user_articles_tfidf_vector # ==> 0
alpha_ner_vector = (1-ALPHA) * user_articles_ner_tfidf_vector
user_vector = np.sum(zip(alpha_tfidf_vector,alpha_ner_vector))
user_vector
Out[16]:
<1x16009 sparse matrix of type '<type 'numpy.float64'>'
with 41 stored elements in Compressed Sparse Row format>
In [28]:
user_vector.toarray()
Out[28]:
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In [17]:
recommended_articles_id = calculate_cosine_similarity(articles_tfidf_matrix, user_vector)
recommended_articles_id
Out[17]:
[3742, 3053, 2724, 2844, 2792]
In [18]:
#Recommended Articles and their title
#df_news = pd.read_csv(PATH_NEWS_ARTICLES)
print 'Articles Read'
print news_articles.loc[news_articles['Article_Id'].isin(ARTICLES_READ)]['Title']
print '\n'
print 'Recommender '
print news_articles.loc[news_articles['Article_Id'].isin(recommended_articles_id)]['Title']
Articles Read
4 Punjab Gau Rakshak Dal chief held for assaulti...
5 Phillipines drug war 1 800 drug-related death...
7 Dialogue crucial in finding permanent solution...
8 School bus overturns in Jammu killing 1 and in...
Name: Title, dtype: object
Recommender
2724 PM Modi says at all-party meeting that PoK is ...
2792 Pampore encounter 5 dead fire breaks out in ...
2844 J K encounter Army jawan 2 terrorists killed...
3053 Jammu Kashmir Pakistan Isis Flags Waved in...
3742 Narendra Modi Likely to Announce 70 000 Cror...
Name: Title, dtype: object
In [ ]:
Content source: sourabhrohilla/ds-masterclass-hands-on
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