Classification Techniques: A Survey

An ongoing field of research in the topic of natural language processing is called as Sentiment Analysis. Sentiment analysis (SM) is the process of extraction of information from a set of documents that are related to a specific entity. Depending on text classification and processing, user identify the polarity of given text. There are many classification techniques. Use of particular algorithm depends on the kind of input provided. Understanding and analyzing when to use which algorithm is an important task and it helps in improving accuracy of results. The main contribution of this paper to give brief description about sentimental analysis techniques and base for our future roadmap.