CODEWITHSUNDEEP
pythonnltktokenize
김준석
김준석

Reputation: 57

How to treat certain words as delimiters in nltk Python?

I'm trying to tokenize the below text with stopwords('is', 'the', 'was') as delimiters

The expected output is this:

['Walter', 
 'feeling anxious', 
 'He', 
 'diagnosed today,' 
 'He probably', 
 'best person I know']

This is the code which I trying to make the above output

import nltk 
stopwords = ['is', 'the', 'was']

sents = nltk.sent_tokenize("Walter was feeling anxious. He was diagnosed today. He probably is the best person I know.")

sents_rm_stopwords = [] 

for sent in sents:
    sents_rm_stopwords.append(' '.join(w for w in nltk.word_tokenize(sent) if w not in stopwords))

My code output is this:

['Walter feeling anxious .',
 'He diagnosed today .', 
 'He probably best person I know .']

How can I make the expected output?

Upvotes: 1

Views: 290

Answers (1)

BernardL
BernardL

Reputation: 5464

So the problem considers both stopwords and line delimiters. Assuming that we can define a line by the symbol ., you can introduce that to multiple splits by using re.split().

import re
s = "Walter was feeling anxious. He was diagnosed today. He probably is the best person I know."
result = re.split(" was | is | the |\. |\.", s)

results
>>
['Walter',
 'feeling anxious',
 'He',
 'diagnosed today',
 'He probably',
 'the best person I know',
 '']

Because we are using both single . and . with a whitespace after, the split results will return an additional ''. Assuming that this structure of sentences are consistent, you can slice the results to get your expected results.

result[:-1]
>>
['Walter',
 'feeling anxious',
 'He',
 'diagnosed today',
 'He probably',
 'the best person I know']

Upvotes: 1

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