Jun 07, 2012 · I had a simple enough idea to determine it, though. NLTK comes equipped with several stopword lists. A stopword is a frequent word in a language, adding no significative information (“the” in English is the prime example. My idea: pick the text, find most common words and compare with stopwords. The language with the most stopwords “wins”.

Quick bigram example in Python/NLTK. GitHub Gist: instantly share code, notes, and snippets. I am trying to process a user entered text by removing stopwords using nltk toolkit, but with stopword-removal the words like 'and', 'or', 'not' gets removed. I want these words to be present after