A comprehensive survey on sentiment analysis

Abstract

Social media data are effectively used in organizations to gain popularity among its users. Here each user can share their ideas about different things (i.e. product views, general issues and so on.)In this case, sentiment analysis or opining mining is useful for mining facts from those data. The text data obtained from the social network primarily undergoes emotion mining to examine the sentiment of the user message. Most of the sentiment or emotional mining uses machine learning approaches for better results. The principle idea behind this article is to bring out the process involved in sentiment analysis. Further the investigation is about the various methods or techniques existing for performing sentiment analysis. It also presents the various tools used to demonstrate the process involved in sentiment analysis. This article reports about the opportunities and issues existing in the sentiment analysis.