Discourse Based Sentiment Analysis for Hindi Reviews

  • Namita Mittal
  • Basant Agarwal
  • Garvit Chouhan
  • Prateek Pareek
  • Nitin Bania
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

Research on Sentiment Analysis (SA) has increased tremendously in recent times due to fast growth in Web Technologies. Hindi Language content is also growing very fast online. Sentiment classification research has been done mostly for English language. However, there has been little work in this area for Indian languages. Sentiment analysis means to extract the opinion expressed in the text about a specific topic. There is a need to analyse the Hindi language content and get insight of opinions expressed by people and various communities about a specific topic. In this paper, it is investigated that how by proper handling of negation and discourse relation may improve the performance of Hindi review sentiment analysis. Experimental results show the effectiveness of the proposed approach.

Keywords

Sentiment Analysis HSWN Discourse relations negation handling Hindi Reviews 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Namita Mittal
    • 1
  • Basant Agarwal
    • 1
  • Garvit Chouhan
    • 1
  • Prateek Pareek
    • 1
  • Nitin Bania
    • 1
  1. 1.Department of Computer EngineeringMalaviya National Institute of TechnologyJaipurIndia

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