semantic

Twitter Sentiment Analysis part 2: Preprocessing the Data and Pickle

Hello and welcome to part 2 of this series, In part 1 we learned the basics of NLTK like, tokenizing, stop words, part of speech tagging etc. In this part our work is easy. All we have to do is to load positive and negative movie reviews, split them into words and then process it in such a way that efficiency will increase, after the completion of the process we will pickle it so that we don't need to process it again and again.