Influence of Diverse Feature Selection Methods in Sentiment Analysis

Abstract

With the enormous comments on social media and ecommerce, government, companies, and individuals eagerly want to know about people opinion about their policies, services, or any other. Sentiment analysis plays a major role to understand people emotions. Sentiment analysis alias opinion mining uses machine learning techniques to classify the given review as positive, negative, or neutral. This paper provides implementation of diverse feature selection techniques with different classifiers in sentiment analysis. The method is evaluated on various domains. Bag of Model with SVM provides satisfactory result on the datasets.