A survey on Sentiment Analysis with Different Classifiers used for Classification

Abstract: Reviews are considered to be the most important text message with respect to business purpose. Today almost all the people who are working online give their reviews on various issues. The reviews can be related to movie, product, political party, about any organization and many more. Through this reviews one can come to know the performance of that particular issue. Due to this collection of large amount of reviews, there is a technological advancement has also been done. This advancement is rigorously needed because it is not possible to analyze this large amount of reviews without any technological improvement. In technology world this reviews are known as sentiments and it comes under the category of natural language processing. Machine learning algorithms are widely used for sentiment analysis, so this paper will cover the detail explanation of the sentiment analysis with the algorithm which is used to perform analysis on the sentiments.  

Keywords: Sentiment, machine learning, classifiers, accuracy, Naïve Bayes, SVM