Comparative Analysis of Maximum Likelihood and MAP solutions on Naïve Bayes Classifier using Python on Sentiment Analysis usecase
- Implemented naïve bayes classifier, trained the model using k-fold cross validation
- Generated learning curve by subsampling, on Amazon, Yelp and Imdb dataset
- Analyzed effect of smoothing on accuracy of the model and used matplotlib for plots