Survey on Tasks and Approaches of Sentiment Analysis

Abstract

With the emergence of internet, people wholeheartedly involves insharing their experiences on the web ranging from the personal thoughts to the global issues. The world is now embellished by social media which paves way to share the user's experience of anything across the world. This enables the market to analyze the sentimentor opinion by excerpting and examining the feedbacks of the users. Sentiment analysis involves in understanding the user's opinions, believes, and feelings towards theindividuals, problems, business and other attributes. This intends to support for making the decision not only for other users but also to the firms. But the acquiescence here is, it is too hard to maintain the review sites and refining the data, as the propagation of sites is too high. This paper intends to present a literal survey on the sentiment analysis. It illustrates the ideas presented in the bunch of articles that are published in the last few years. It is concentrated to deliver the basic tasks, sub-tasks, techniques, methodologies and few applications of the review mining.