Abstract
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 sitessuch 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 million 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 todiscover and categorize the positive and negative sentiments of society. So as there is a huge repository of data, clustering is efficient and quickway to study people’s expression and get aconclusion. This paper surveys the different mining techniques to carry out opinions and sentiments analysis and represent it to the bestway based on subjectivity and polarity. Keyword: Social Media, Opinion Mining, Sentiments Analysis, Clustering, Expressions, Social Networking.
Published Version
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