Every day the user’s content on social networking sites, blogs, and other e-commerce linked sites is growing drastically. This content can be prepared and come out with various outcomes will be very much helpful. At present, collecting reviews and suggestions of users from the sites is trending. The reviews and suggestions of customers are very essential for any industry. Therefore there is a great requirement of some techniques by which we can identify the unseen data from reviews and suggestions. Sentiment Analysis is the process of extracting meaningful data from user’s reviews and suggestions. Many people share their reviews and suggestions on websites, blogs data, or information on social networking sites and on web forums. Such type of data gives meaningful information about the community that what they are thinking. Without this information, one cannot find out whether there is any need for change. This information can be processed and manipulate to come up with some results on which one can take decisions. This paper focuses on different types of sentiment analysis performed, techniques of sentiment analysis, and various applications of sentiment analysis practice in the real world.
