A Framework for Sentiment Analysis in Hindi using HSWN

Abstract

Due to increase in amount of Hindi content on the web in past years, there are more requirements to perform sentiment analysis for Hindi Language. Sentiment Analysis (SA) is a task which finds orientation of one's opinion in a piece of information with respect to an entity. It deals with analyzing emotions, feelings, and the attitude of a speaker or a writer from a given piece of information. Sentiment Analysis involves capturing of user's behavior, likes and dislikes of an individual from the text. The work of most of the SA system is to identify the sentiments express over an entity, and then classify it into either positive or negative sentiment. Our proposed system for sentiment analysis of Hindi movie review uses HindiSentiWordNet (HSWN) to find the overall sentiment associated with the document; polarity of words in the review are extracted from HSWN and then final aggregated polarity is calculated which can sum as either positive, negative or neutral. Synset replacement algorithm is used to find polarity of those words which don't have polarity associated with it in HSWN. Negation and discourse relations which are mostly present in Hindi movie review are also handled to improve the performance of the system.