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Computational Intelligence: Theories, Applications and Future Directions - Volume I pp 215–226Cite as

Discovering Conversational Topics and Emotions Associated with Demonetization Tweets in India

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 798))

Abstract

Social media platforms, owing to its great wealth of information, facilitates one’s opportunities to explore hidden patterns or unknown correlations. It also finds its credibility in understanding people’s expressions from what they are discussing on online platforms. As one showcase, in this paper, we summarize the dataset of Twitter messages related to recent demonetization of all Rs. 500 and Rs. 1000 notes in India and explore insights from Twitter’s data. Our proposed system automatically extracts the popular latent topics in conversations regarding demonetization discussed in Twitter via the Latent Dirichlet Allocation (LDA)-based topic model and also identifies the correlated topics across different categories. Additionally, it also discovers people’s opinions expressed through their tweets related to the event under consideration via the emotion analyzer. The system also employs an intuitive and informative visualization to show the uncovered insight. Furthermore, we use an evaluation measure, Normalized Mutual Information (NMI), to select the best LDA models. The obtained LDA results show that the tool can be effectively used to extract discussion topics and summarize them for further manual analysis.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, Uttar Pradesh, India

    Mitodru Niyogi

  2. Management Information Systems, Indian Institute of Management Calcutta, Kolkata, 700104, West Bengal, India

    Asim Kumar Pal

Authors
  1. Mitodru Niyogi
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  2. Asim Kumar Pal
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Corresponding author

Correspondence to Mitodru Niyogi .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Nishchal K. Verma

  2. Department of Aerospace Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    A. K. Ghosh

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Niyogi, M., Kumar Pal, A. (2019). Discovering Conversational Topics and Emotions Associated with Demonetization Tweets in India. In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume I. Advances in Intelligent Systems and Computing, vol 798. Springer, Singapore. https://doi.org/10.1007/978-981-13-1132-1_17

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