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Unveiling Public Perceptions: Machine Learning-Based Sentiment Analysis of COVID-19 Vaccines in India

arXiv 2311.11435 ↗First posted 19 Nov 2023cs.CL cs.AIcited by 0

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Abstract (arXiv)

In March 2020, the World Health Organisation declared COVID-19 a global pandemic as it spread to nearly every country. By mid-2021, India had introduced three vaccines: Covishield, Covaxin, and Sputnik. To ensure successful vaccination in a densely populated country like India, understanding public sentiment was crucial. Social media, particularly Reddit with over 430 million users, played a vital role in disseminating information. This study employs data mining techniques to analyze Reddit data and gauge Indian sentiments towards COVID-19 vaccines. Using Python's Text Blob library, comments are annotated to assess general sentiments. Results show that most Reddit users in India expressed neutrality about vaccination, posing a challenge for the Indian government's efforts to vaccinate a significant portion of the population.

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References · 4

  1. 2020A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaborationcited by 33
  2. 2018Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTMcited by 17
  3. 2022One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Studycited by 5
  4. 2019Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Miningcited by 1

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