BibTeX:

@article{IJIRSTV5I10013,
     title={Sentiment Analysis and Opinion Mining: A Review},
     author={Shaktisinh S. Parmar, Vijaysinh K. Jadeja, Sohil A. Gadhiya, Chirag R. Patel and Jignesh N. Solanki},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={5},
     number={10},
     pages={69--73},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV5I10013.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In recent years, the enormous growth of web tools, lead to massive quantity of user generated information in online systems. This large amount of information on web makes them viable for use as data sources, in applications based on opinion mining and sentiment analysis. Social media such as twitter, blogs, Facebook etc. have become the main channel of communication. People share their view and opinion on different people and products on internet. Opinion mining is natural language processing which could track the mood of the people on any products by tacking their reviews. We have can find the sentiments (or sentimental words) from given document by using Natural Language Processing and then by analyzing it we can classify it in different category (i.e. News can be categorized in positive and negative). In this paper we have discussed procedure of opinion mining and different techniques for sentiment analysis and opinion mining.

Feature Extraction, Natural language Processing, Opinion Mining, Sentiment, Text Mining