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Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi

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Computational Linguistics and Intelligent Text Processing (CICLing 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9624))

Abstract

E-commerce markets in developing countries (e.g. India) have witnessed a tremendous amount of user’s interest recently. Product reviews are now being generated daily in huge amount. Classifying the sentiment expressed in a user generated text/review into certain categories of interest, for example, positive or negative is famously known as sentiment analysis. Whereas aspect based sentiment analysis (ABSA) deals with the sentiment classification of a review towards some aspects or attributes or features. In this paper we asses the challenges and provide a benchmark setup for aspect category detection and sentiment classification for Hindi. Aspect category can be seen as the generalization of various aspects that are discussed in a review. As far as our knowledge is concerned, this is the very first attempt for such kind of task involving any Indian language. The key contributions of the present work are two-fold, viz. providing a benchmark platform by creating annotated dataset for aspect category detection and sentiment classification, and developing supervised approaches for these two tasks that can be treated as a baseline model for further research.

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Notes

  1. 1.

    Dataset can be found at http://www.CICLing.org/2016/data/170.

  2. 2.

    List of few sources...

    http://www.jagran.com

    http://www.gizbot.com

    http://www.patrika.com

    http://www.hi.themobileindian.com

    http://www.mobilehindi.com

    http://navbharattimes.indiatimes.com

    http://hindi.starlive24.in/

    http://www.amarujala.com

    http://techjankari.blogspot.in

    http://www.digit.in

    http://khabar.ndtv.com/topic

    http://www.hindi.mymobile.co.in/

    http://www.bhaskar.com.

  3. 3.

    http://meka.sourceforge.net/.

  4. 4.

    http://mulan.sourceforge.net/.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, 801103, India

    Md Shad Akhtar, Asif Ekbal & Pushpak Bhattacharyya

Authors
  1. Md Shad Akhtar
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  2. Asif Ekbal
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  3. Pushpak Bhattacharyya
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Corresponding author

Correspondence to Md Shad Akhtar .

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Editors and Affiliations

  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Akhtar, M.S., Ekbal, A., Bhattacharyya, P. (2018). Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9624. Springer, Cham. https://doi.org/10.1007/978-3-319-75487-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-75487-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75486-4

  • Online ISBN: 978-3-319-75487-1

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