Sentiments analysis of Twitter data using data mining

With rapid growth in user of Social Media in recent years, the researcher get attracted towards the use of social media data for sentiments analysis of people or particular product or person or event. Twitter is one of the widely used social media platform to express the thoughts. This Paper presents approach for analysing the sentiments of users using data mining classifiers. It also compares the performance of single classifiers for sentiments analysis over ensemble of classifier. Expermental results obtained demonstrates that k-nearest neighbour classifier gives very high predictive accuracy. Result also demonstrate that single classifiers outperforms ensemble of classifier approch.