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Create SpeechTaggingNLTK.py #223

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33 changes: 33 additions & 0 deletions SpeechTaggingNLTK.py
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import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize, sent_tokenize
stop_words = set(stopwords.words('english'))

// Dummy text
txt = "Sukanya, Rajib and Naba are my good friends. " \
"Sukanya is getting married next year. " \
"Marriage is a big step in one’s life." \
"It is both exciting and frightening. " \
"But friendship is a sacred bond between people." \
"It is a special kind of love between us. " \
"Many of you must have tried searching for a friend "\
"but never found the right one."

# sent_tokenize is one of instances of
# PunktSentenceTokenizer from the nltk.tokenize.punkt module

tokenized = sent_tokenize(txt)
for i in tokenized:

# Word tokenizers is used to find the words
# and punctuation in a string
wordsList = nltk.word_tokenize(i)

# removing stop words from wordList
wordsList = [w for w in wordsList if not w in stop_words]

# Using a Tagger. Which is part-of-speech
# tagger or POS-tagger.
tagged = nltk.pos_tag(wordsList)

print(tagged)