I like to analyse text. my method consisted of something like words=text.split(), which would split the text into space-seperated units. then I tried to use the Python NLTK library, which had alot of features I wanted, but using `word-tokenize' gives a different answer.-
What gives?. -- m...@ireland.com Will Rant For Food -- https://mail.python.org/mailman/listinfo/python-list
