Perplexed Bayes Classifier based Secure & Intelligent Approach for Aspect Level Sentiment Analysis.

In this work, we are using machine learning methods to classify a review document. We are using two machine learning methods - Naive Bayes classifier and perplexed Bayes classifier. First we will briefly introduce the Naive Bayes classifier, its shortcomings and perplexed Bayes classifier. Further, we will be training the classifiers using a small training set and will use a test set with reviews having dependency among its features. We will then show that how Naive Bayes classifier fails to classify such reviews and will be showing that perplexed Bayes classifier can be used to classify the given test set, having dependency among its features.