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Modeling Indian General Elections: Sentiment Analysis of Political Twitter Data

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

Abstract

Twitter is a microblogging website where users read and write short messages on various topics every day. Political analysis using social media is getting attention of many researchers to understand the public opinion and trend especially during election time. In this paper, we propose a novel approach based on semantics and context aware rules to detect the public opinion and further predict election results. We crawled the political tweets during the general election in India, and further evaluate our proposed approach against the election results. Experimental results show the effectiveness of the proposed rules in determining the sentiment of the political tweets.

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Author information

Authors and Affiliations

  1. The LNM Institute of Information Technology, Jaipur, India

    Kartik Singhal

  2. Malaviya National Institute of Technology, Jaipur, India

    Basant Agrawal & Namita Mittal

Authors
  1. Kartik Singhal
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  2. Basant Agrawal
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  3. Namita Mittal
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Corresponding author

Correspondence to Kartik Singhal .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Singhal, K., Agrawal, B., Mittal, N. (2015). Modeling Indian General Elections: Sentiment Analysis of Political Twitter Data. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_46

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_46

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

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