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S13-Words-for-the-Future-no.../nltk-similar-words.ipynb

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NLTK - Similar Words

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import nltk
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txt = open('txt/language.txt').read()

Tokens

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tokens = nltk.word_tokenize(txt)
print(tokens)

NLTK Text object

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text = nltk.Text(tokens)
print(text)

concordance

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# This is what you did with Michael before the break ...
concordance = text.concordance("language")

similarities

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# With a small next step ...
similar = text.similar("language")
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# And searching for contexts ...
contexts = text.common_contexts(["language"])

Read on

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