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POHow to find the most frequent words before and after a given word in a given text in python?
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2013-11-16T16:00:29.710
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I have a big text and I am trying to get most frequently word occurrences before and after a given word in this text. For example: I want to know what is the most frequent word occurrence after "lake". Idealy would get something like that: (word 1,# occurrence), (word 2,# occurrence),... The same for the words which would come before... I tried the NLTK bigran but it seems it only find the most common n-grans... Is it possible somehow to fix one of the words and find the most frequent n-grans based on the fixed word)? Thanks for any help!!
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<python-2.7><nlp><nltk><n-gram>
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How to find the most frequent words before and after a given word in a given text in python?
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