anirudhtulasi/TwiP

Personality plays a vital role in todays world.This uses the Twitter REST API to mine tweets for personality identification. We will use n-grams and word vectors for the hashtags, emoticons and phrases using NLP techniques. We will train the machine to classify the personality types by using a Naive- Bayes Text Classifier and to accurately predict the user’s Myers-Briggs personality type using 10- fold cross validation. We will generate a naive bayes classifier models for all 4 different classes. It will generate few scores which will give the training data size and the features used while training the model.

Python