IMPORTANT FEATURES SELECTION DURING SENTIMENT ANALYSIS

The rapid growth of online blogs, social networks and other forums able the people and online users to discuss the various aspect about product, service and other features. It became more popular to automatically analyze the opinion of others.in decision making the opinion of other people are more helpful about product, services, online shopping etc. The contribution of this article is to extract important features during the process of sentiment analysis. The results show the efficiency and value of the proposed method which outperform among the various research work. The proposed work achieves an accuracy of 85.71% for important features selecting during sentiment analysis using frequency based selection method.

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