Abstract
Social media is a platform where people from any corner of the world share their opinions with each other thus current era is called as social media era. Social networking sites such as Facebook and Twitter plays an important role in information retrieval and web data analysis. In a survey it is found that Twitter produces more than 500 millions of tweets each day which is about 8 TB of data which can be mined and sentiments analysis can be carried out. The purpose of mining and exacting opinions is to discover and categorize the positive and negative sentiments of society. So as there is a huge repository of data, clustering is efficient and quick way to study people’s expression and get a conclusion. This paper surveys the different mining techniques to carry out opinions and sentiments analysis and represent it to the best way based on subjectivity and polarity.
Keywords: Social Media, Opinion Mining, Sentiments Analysis, Clustering, Expressions, Social Networking.
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