Our day to day life has always influenced by what people think. Opinion and ideas always precious our own opinions. Sentiment Analysis is machine learning approach in which machine analyzes and classifies the human’s sentiments, emotions, and opinions about some topic which are expressed in the form of either text or speech. Sentiment Analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. Till now, there are few different problems predominating in this research community, namely, sentiment classification, feature based classification and handling negations. In real world, public or consumer opinions about some product or brand are very important for its sales. Hence sentiment analysis is a very important research area for real life applications i.e. decision making. Hence this paper aims to cover different algorithms of opinion mining.

Sentiment Analysis, Opinion Mining, Machine Learning, Classification, Sentiment Polarity

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