An Experimental Analysis of Clustering Sentiments for Opinion Mining

Social Media Analytics playing a major role in e-commerce for extracting the useful information of a product/service. Opinion Mining has become the key process of Social Media Analytics. In this paper, the process of opinion mining in social media while dealing with different kind of opinionated documents and the challenges associated to opinion mining from social media has been discussed. The twitter is a big online social activity where some millions of people share their opinions. Applying sentiment analysis on social media data to get product reviews based on the product features is one major concern. K-means clustering technique applied on a sample twitter dataset to cluster different sentiments in context with different features of products and been evaluated and explained with the help of a machine learning tool.