This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1385) Infodemiology and Infoveillance (1124) JMIR Theme Issue: COVID-19 Special Issue (2238) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1399) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (921) Outbreak and Pandemic Preparedness and Management (1529)

Published on in Vol 6 , No 4 (2020) :Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21978, first published .
Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Authors of this article:

Sakun Boon-Itt 1 Author Orcid Image ;   Yukolpat Skunkan 2 Author Orcid Image
Article Authors Cited by (175) Tweetations (9) Metrics

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  130. Chai Y, Palacios J, Wang J, Fan Y, Zheng S, Sasahara K. Measuring daily-life fear perception change: A computational study in the context of COVID-19. PLOS ONE 2022;17(12):e0278322 View
  131. Karabin M, Kyröläinen A, Kuperman V. Increase in Linguistic Complexity in Older Adults During COVID-19. Experimental Aging Research 2023:1 View
  132. Evans S, Jones R, Alkan E, Sichman J, Haque A, de Oliveira F, Mougouei D, Yan Z. The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing. Human Behavior and Emerging Technologies 2023;2023:1 View
  133. Sharma B, Karunanayake I, Masood R, Ikram M. Don’t Be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19. IEEE Access 2023;11:29769 View
  134. Biassoni F, Balzarotti S, Abati D, Salducco A, Gnerre M. Narratives on the present and the future in the time of COVID-19 pandemic: Uncertainty, subjective feeling and the role of positive anticipatory states. Frontiers in Communication 2023;8 View
  135. Sukhavasi N, Misra J, Kaulgud V, Podder S. Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19. Journal of Computational Social Science 2023 View
  136. Xu H, Liu R, Luo Z, Xu M. COVID-19 Vaccine Sensing: Sentiment Analysis and Subject Distillation from Twitter Data. SSRN Electronic Journal 2022 View
  137. Lotto M, Hanjahanja-Phiri T, Padalko H, Oetomo A, Butt Z, Boger J, Millar J, Cruvinel T, Morita P. Ethical principles for infodemiology and infoveillance studies concerning infodemic management on social media. Frontiers in Public Health 2023;11 View
  138. Zakir Hussain I, Kaur J, Lotto M, Butt Z, Morita P. Tweeting for Health using Real-Time Mining and AI-Based Analytics: Design & Development of as Misinformation Data Ecosystem for Twitter (Preprint). Journal of Medical Internet Research 2022 View
  139. Davidson P, Muniandy T, Karmegam D. Perception of COVID-19 vaccination among Indian Twitter users: computational approach. Journal of Computational Social Science 2023 View
  140. Etienne D, Archambault P, Aziaka D, Chipenda-Dansokho S, Dubé E, Fallon C, Hakim H, Kindrachuk J, Krecoum D, MacDonald S, Ndjaboue R, Noubi M, Paquette J, Parent E, Witteman H. A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study. JMIR Formative Research 2023;7:e38430 View
  141. Stemmer M, Parmet Y, Ravid G. What are IBD Patients Talking About on Twitter? Using Natural Language Understanding to Investigate Patients’ Tweets. SN Computer Science 2023;4(4) View
  142. Rajkhowa P, Dsouza V, Kharel R, Cauvery K, Mallya B, Raksha D, Mrinalini V, Sharma P, Pattanshetty S, Narayanan P, Lahariya C, Brand H. Factors Influencing Monkeypox Vaccination: A Cue to Policy Implementation. Journal of Epidemiology and Global Health 2023 View
  143. Darad S, Krishnan S. Sentimental analysis of COVID-19 twitter data using deep learning and machine learning models. Ingenius 2023;(29):108 View
  144. Ujah O, Olaore P, Nnorom O, Ogbu C, Kirby R. Examining ethno-racial attitudes of the public in Twitter discourses related to the United States Supreme Court Dobbs vs. Jackson Women's Health Organization ruling: A machine learning approach. Frontiers in Global Women's Health 2023;4 View
  145. Rani S, Jain A. Optimizing healthcare system by amalgamation of text processing and deep learning: a systematic review. Multimedia Tools and Applications 2023 View
  146. Motwakel A, J. Alshahrani H, Q. A. Hassan A, Tarmissi K, S. Mehanna A, Yaseen I, Atta Abdelmageed A, Mahzari M. Sine Cosine Optimization with Deep Learning-Based Applied Linguistics for Sentiment Analysis on COVID-19 Tweets. Computers, Materials & Continua 2023;75(3):4767 View
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Books/Policy Documents

  1. Chandran N, Anoop V. S. , Asharaf S. . Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
  2. Karagkiozidou M, Koukaras P, Tjortjis C. Artificial Intelligence Applications and Innovations. View
  3. Küçük D, Arıcı N. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
  4. Shaikh S, Yayilgan S, Zoto E, Abomhara M. Intelligent Computing. View
  5. Gomez M, Ruipérez-Valiente J. Handbook of Research on Digital-Based Assessment and Innovative Practices in Education. View
  6. García-Contreras R, Muñoz-Chávez J, Valle-Cruz D, López-Chau A. Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media. View
  7. Chowdhury K, Sil A, Shukla S. Advances in Computing and Data Sciences. View
  8. Thakur O, Saritha S, Jain S. Machine Learning, Image Processing, Network Security and Data Sciences. View
  9. Ugwu C, Casarin S. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. View
  10. Ramzi N, Yusoff M, Noh N. Soft Computing in Data Science. View