Sentiment Classification in Hindi by using a HindiSentiWordNet (HSWN)

Conference: Sixth International Conference on Computational Intelligence and Information Technology
Author(s): Pooja Pandey, Sharvari Govilkar, Sagar Kulkarni Year: 2016
Grenze ID: 02.CIIT.2016.6.514 Page: 70-77

Abstract

Sentiment Analysis is a natural language processing task that deals with finding orientation of opinion with respect to a given topic. It deals with analyzing emotions, feelings, and the attitude of a speaker or a writer from a given piece of text or any other form of media. The target of sentiment classification system is to find opinions, identify the sentiments they express, and then classify them according to their polarity. The proposed system for sentiment classification of Hindi documents uses Hindi SentiWordNet (HSWN) to find the overall polarity of the Hindi text document where the final aggregated polarity calculated by system can be positive, negative or neutral. Existing HSWN is enhanced by adding more number of sentiment bearing words. The proposed System also handles negation and discourse relations which influence sentiment associated with a given input.

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CIIT - 2016