Important Words Extraction with Mutual Information From Text for Classification

While working with domain specific multiclass text classification problems we often want to extract the words that give more information about a particular class or influence the text more to fall in a particular class. There are various ways we can do it, and Mutual Information, a statistical technique is one of them. In the ipynb notebook above I have tried to implement it from Scratch.