In [6]:

    

import nltk
sentence = "Hello my name is joe."
tokens = nltk.word_tokenize(sentence)
tokens


    

    
Out[6]:





['Hello', 'my', 'name', 'is', 'joe', '.']

In [7]:

    

tagged = nltk.pos_tag(tokens)


    

In [8]:

    

tagged


    

    
Out[8]:





[('Hello', 'NNP'),
 ('my', 'PRP$'),
 ('name', 'NN'),
 ('is', 'VBZ'),
 ('joe', 'NN'),
 ('.', '.')]

In [9]:

    

entities = nltk.chunk.ne_chunk(tagged)


    

In [15]:

    

type(entities)


    

    
Out[15]:





nltk.tree.Tree

In [11]:

    

%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib






    




WARNING: pylab import has clobbered these variables: ['info', 'linalg', 'random', 'fft', 'power']
`%matplotlib` prevents importing * from pylab and numpy

In [16]:

    

from nltk.corpus import treebank


    

In [17]:

    

t = treebank.parsed_sents('wsj_0001.mrg')[0]


    

In [18]:

    

t.draw()


    

In [2]:

    

from pylab import *


x = linspace(0, 5, 10)
y = x ** 2
figure()
plot(x, y, 'r')
xlabel('x')
ylabel('y')
title('title')
show()


    

In [ ]: