Sentiment Classification using Machine Learning: A Survey

Abstract

The World Wide Web has brought a new way of expressing the reactions of people about any product, things, and topics, etc. The sentiment Analysis of written textual content on the web is one of the text mining areas used to find out sentiments in a given text. The process of sentiment analysis is a task of detecting, extracting and classifying critiques and sentiments expressed in texts. Twitter is also a medium with the huge amount of information wherein users can view the opinion of other users that labeled into different sentiment classes such as positive, negative, and neutral and are increasingly more developing as a key element in decision making. ?Till now, there are few extraordinary problems predominating in this research community, namely, sentiment classification, feature-based classification and dealing with negations. This paper presents a survey covering the strategies and techniques of sentiment classification and demanding situations appear within the area.?