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Extraction of Psychological Effects of COVID‐19 Pandemic through Topic‐Level Sentiment Dynamics

Author

Listed:
  • Abdul Razzaq
  • Touqeer Abbas
  • Sarfraz Hashim
  • Salman Qadri
  • Imran Mumtaz
  • Najia Saher
  • Muzammil Ul-Rehman
  • Faisal Shahzad
  • Syed Ali Nawaz

Abstract

The rapid increase in COVID‐19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social media platforms. There is a considerable need to implement different measures and better perceive COVID‐19 pertinent facts and information by demystifying public sentiments. In this study, the Quarantine Life dataset of thousand tweets is based on #Quarantine, #Quarantine Days, #Quarantine Life, #My Pandemic Plan, and #Quarantine and Chill from January to September 2020 has been collected from Twitter. The extracted data have been scrubbed through preprocessing techniques. The sentiments and topics extracted from tweets have been analyzed through the TEXT BLOB, VADER, and AFFIN approach. Results show that people were distressed and fearful due to the COVID‐19 pandemic. However, most people enjoyed by playing games, watching movies, and reading books during the lockdown period. According to the present meta‐analysis, physical activity interventions are beneficial for patients with dementia in terms of cognition. The proposed framework illustrates the insight impact of COVID‐19 on human physiological and mainly focuses on the evaluation of sentiment dynamics at the topical level.

Suggested Citation

  • Abdul Razzaq & Touqeer Abbas & Sarfraz Hashim & Salman Qadri & Imran Mumtaz & Najia Saher & Muzammil Ul-Rehman & Faisal Shahzad & Syed Ali Nawaz, 2022. "Extraction of Psychological Effects of COVID‐19 Pandemic through Topic‐Level Sentiment Dynamics," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:9914224
    DOI: 10.1155/2022/9914224
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    References listed on IDEAS

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    1. Sharma, Amalesh & Adhikary, Anirban & Borah, Sourav Bikash, 2020. "Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data," Journal of Business Research, Elsevier, vol. 117(C), pages 443-449.
    2. Jain, Somya & Sinha, Adwitiya, 2020. "Identification of influential users on Twitter: A novel weighted correlated influence measure for Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Xuehua Han & Juanle Wang & Min Zhang & Xiaojie Wang, 2020. "Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China," IJERPH, MDPI, vol. 17(8), pages 1-22, April.
    4. Sijia Li & Yilin Wang & Jia Xue & Nan Zhao & Tingshao Zhu, 2020. "The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users," IJERPH, MDPI, vol. 17(6), pages 1-9, March.
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