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Social Listening Through Sentiment Analysis of Twitter Data: A Case Study of Paytm IPO

Author

Listed:
  • Mehta Meera

    (Associate Professor, Department of Commerce, Shaheed Bhagat Singh College, University of Delhi, India)

  • Arora Shivani

    (Professor, Department of Commerce, Shaheed Bhagat Singh College, University of Delhi, Delhi, India)

  • Gupta Shikha

    (Associate Professor, Department of Commerce, Shaheed Bhagat Singh College, University of Delhi, India)

  • Jhulka Arun

    (Associate Professor, Maharaja Agrasen College, Delhi University, India)

Abstract

Purpose. Microblogging sites are being used by people across the globe to share their opinions and to express sentiments for everything in real time. Through social listening, companies analyse the sentiments to assess the way forward, and the researchers use it to analyse the trend or an event and give forward-looking recommendations. The objective of the paper is to analyse the sentiments of people relating to Paytm IPO which can be used to predict the way forward. Design/methodology/approach. The study attempts sentiment analysis. For this purpose, QSR NVIVO 12, the qualitative analysis tool was used to retrieve the tweets from the Twitter website. NCapture was installed for this purpose. Post data cleaning, stemming, query augmentation and classification, the Twitter data was analysed. Findings. The sentiments around the IPO of Paytm have been negative and sarcastic. The extremely negative tweets were near twice the number of extremely positive tweets. Practical implication. The study can help an investor in evaluating the investment that they might be planning in the given company. For the company, whose IPO is being considered, an analysis of the sentiments around the IPO can help in taking corrective measures, if the sentiment is negative, towards reputation building. Originality/value. The study is an original contribution to the extant literature in the field of sentiment analysis.

Suggested Citation

  • Mehta Meera & Arora Shivani & Gupta Shikha & Jhulka Arun, 2022. "Social Listening Through Sentiment Analysis of Twitter Data: A Case Study of Paytm IPO," SocioEconomic Challenges (SEC), Sciendo, vol. 6(3), pages 39-47, September.
    • Handle: RePEc:vrs:socecc:v:6:y:2022:i:3:p:39-47:n:12
    DOI: 10.21272/sec.63.39-47.2022
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    More about this item

    Keywords

    social media; Twitter data; sentiment analysis; opinions; tweets;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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