In [43]:

from os.path import join
try:
    import nltk
except ImportError:
    import sys
    !{sys.executable} -m pip install nltk
    import nltk
nltk.download('wordnet')  
from nltk.corpus import wordnet

[nltk_data] Downloading package wordnet to /home/user/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!

In [44]:

from nltk.stem import PorterStemmer

In [45]:

word = "finished"

In [46]:

p_stemmer = PorterStemmer()
p_stemmer.stem(word)

Out[46]:

'finish'

In [47]:

from nltk.stem import SnowballStemmer
SnowballStemmer.languages

Out[47]:

('arabic',
 'danish',
 'dutch',
 'english',
 'finnish',
 'french',
 'german',
 'hungarian',
 'italian',
 'norwegian',
 'porter',
 'portuguese',
 'romanian',
 'russian',
 'spanish',
 'swedish')

In [48]:

stemmer = SnowballStemmer('english')
 
stemmer.stem("working")

Out[48]:

'work'

In [49]:

w = 'increases'
p_stemmer.stem(w)

Out[49]:

'increas'

In [50]:

from nltk.stem import WordNetLemmatizer
 
lemmatizer = WordNetLemmatizer()
 
lemmatizer.lemmatize(w)

Out[50]:

'increase'

In [51]:

lemmatizer.lemmatize('playing')

Out[51]:

'playing'

In [52]:

lemmatizer.lemmatize('playing', pos="v")

Out[52]:

'play'

NLP

Stemming¶

lemmatizing¶

Pay Notebook Creator: Salah Ahmed	0
Set Container: Numerical CPU with TINY Memory for 10 Minutes	0
Total	0