Opinion Mining using Naive Bayes Classifier

Abstract

Opinion mining and Sentiment analysis have become a vital part in today's era. Both industries and consumers switch to online resources for feedback on products and amenities. Post enormous development of web technology, reviews existing on web are in surplus quantity. Thus, making decision problem harder. It would be more beneficiary to an individual or organization if these opinions serve precise sentiment of the whole review/document. This paper implements naïve Bayes algorithm to classify the sentence in positive, negative and neutral precisely. So, we implemented the proposed technique and we evaluated its performance, and suggested directions of improvement.