A Survey on Sentiment Analysis

Abstract

Sentiment analysis is the process to automatically examine a piece of writing in order to find out the writer's opinions or feelings about a product, policy, services and specific situations using Machine learning technique. It is a kind of text classification that classifies text, based on the sentimental orientation of opinions they contain. It is also known as opinion mining. Opinions are usually subjective expressions that describe person's sentiment, feelings towards the object or service. The sentiment can be positive or negative Sentiment analysis acts as a tool for monitoring the response-stimulus behavior of people to the various events occurring around the world. This paper presents a survey covering the techniques and methods in sentiment analysis and challenges appear in the field. Keyword: Sentiment, Opinion, support vector machine, Naive Bayes, etc..