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A Longitudinal Study of the Emotional Content in Indian Political Speeches

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Intelligent Human Computer Interaction (IHCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13741))

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Abstract

Emotions are an impacting factor when public speaking is concerned. Mainly, politicians utilize emotion in their public speeches as a tool to generate a better connection with the audience. As such, this study proposes a longitudinal study of emotional content in speeches of Indian politicians, encompassing several primary elections over 15 years. A speech emotion dataset is proposed for the same, annotated using human annotators. We also present experimental analysis on the collected dataset using a standard approach such as Attention-based CNN+LSTM architectures and transfer learning using multiple standard emotion datasets. The model achieves a recognition accuracy of 73.18% using pre-training. A longitudinal study spanning over three Lok Sabha elections is also presented, demonstrating how the politicians modulate emotions in speech over several elections.

This research was supported under the India-Korea joint program cooperation of science and technology by the National Research Foundation (NRF) Korea (2020K1A3A1A68093469), the Ministry of Science and ICT (MSIT) Korea and by the Department of Biotechnology (India) (DBT/IC-12031(22)-ICD-DBT).

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Authors and Affiliations

  1. Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Sandeep Kumar Pandey, Mohit Manohar Nirgulkar & Hanumant Singh Shekhawat

  2. Samsung Research and Development Institute, Bangalore, India

    Sandeep Kumar Pandey

Authors
  1. Sandeep Kumar Pandey
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  2. Mohit Manohar Nirgulkar
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  3. Hanumant Singh Shekhawat
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Corresponding author

Correspondence to Sandeep Kumar Pandey .

Editor information

Editors and Affiliations

  1. Tashkent University Information Technologies, Tashkent, Uzbekistan

    Hakimjon Zaynidinov

  2. Oregon Institute of Technology, Klamath Falls, USA

    Madhusudan Singh

  3. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  4. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

    Dhananjay Singh

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Pandey, S.K., Nirgulkar, M.M., Shekhawat, H.S. (2023). A Longitudinal Study of the Emotional Content in Indian Political Speeches. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-27199-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27198-4

  • Online ISBN: 978-3-031-27199-1

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