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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) Infodemiology and Infoveillance (1453) JMIR Theme Issue: COVID-19 Special Issue (2493) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1785) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Outbreak and Pandemic Preparedness and Management (1779)

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-Itt1 Author Orcid Image ;   Yukolpat Skunkan2 Author Orcid Image
Article Authors Cited by (320) Tweetations (10) Metrics

Journals

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  260. Nakanishi A, Ichikawa M, Sano Y. Public Discourse Toward Older Drivers in Japan: Longitudinal Analysis of Social Media Data from 2010 to 2022 (Preprint). JMIR Infodemiology 2024 View
  261. Fernandez G, Suresh-Babu S, Vito D. Mapping Infodemic Responses: A Geospatial Analysis of COVID-19 Discourse on Twitter in Italy. International Journal of Environmental Research and Public Health 2025;22(5):668 View
  262. Perea-Khalifi D, León-Silva J. Local Government Accountability to Citizens as COVID-19 Took Hold: Sentiment Analysis of Tweets in Hispanic–American Countries. Administration & Society 2025 View
  263. Khakban I, Jain S, Gallab J, Dharmaraj B, Zhou F, Lokker C, Abdelkader W, Zeraatkar D, Busse J. Impact of COVID-19 and the 2021 NICE Guideline on Public Perspectives towards Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Twitter Thematic and Sentiment Analysis (Preprint). Journal of Medical Internet Research 2024 View
  264. Rasoli Jokar A, Karimi H, Yaruss J. Stuttering Representation on X: A Detailed Analysis of Content, Sentiment, and Influences. American Journal of Speech-Language Pathology 2025:1 View
  265. Noreña-Peña A. La investigación cualitativa como enfoque metodológico fundamental en la investigación en ciencias de la salud. MedUNAB 2024;27(2):126 View
  266. Torwane N, Lalloo R, Ha D, Do L. Mapping the “X” Debate: Water Fluoridation Sentiment Analysis With Advanced Machine Learning. Journal of Public Health Dentistry 2025 View
  267. Butz L, Platkin C, Chin J, Chavez Salas J, Serres E, Leung M. Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study. JMIR Formative Research 2025;9:e49520 View

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
  11. Martinis M, Scarpino I, Zucco C, Cannataro M. Computational Science – ICCS 2023. View
  12. Gupta A, Tadanki N, Berry N, Bardae R, Harikrishnan R, Wagle S. Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security. View
  13. Sakiyama K, de Souza Rodrigues L, Nogueira B, Matsubara E, Romero R. Intelligent Systems. View
  14. Denecke K. Sentiment Analysis in the Medical Domain. View
  15. Vasudev R, Dahikar P, Jain A, Patil N. Big Data, Machine Learning, and Applications. View
  16. Osop H, Wong J, Lwin S, Lee C. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration. View
  17. de Lima B, Baracho R, Mandl T. Information Systems and Technologies. View
  18. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View
  19. Perumal Chockalingam S, Thambusamy V. Intelligent Systems Design and Applications. View
  20. Lien Y, Wu W. Innovative Design and Engineering Applications of Intelligent Systems Under the Framework of Industry 4.0. View
  21. Ng K, Wendt N, Eshun J, Saldanha E. Complex Networks & Their Applications XIII. View
  22. Mohd Danuri M, Rashidia N, Abd Rahman R. Systems Modelling and Simulation. View

Conference Proceedings

  1. Smith G, Kabban C, Hopkinson K, Oxley M, Noel G, Cheng H. NAECON 2021 - IEEE National Aerospace and Electronics Conference. Sensor Fusion for Context Analysis in Social Media COVID-19 Data View
  2. Figueira O, Hatori Y, Liang L, Chye C, Liu Y. 2021 IEEE Global Humanitarian Technology Conference (GHTC). Understanding COVID-19 Public Sentiment Towards Public Health Policies Using Social Media Data View
  3. Sazzed S. 2022 IEEE International Conference on Big Data (Big Data). The Dynamics of Ukraine-Russian Conflict through the Lens of Demographically Diverse Twitter Data View
  4. Anwar M, Utami M, Ambarwati L, Arohman A. 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). Identifying Social Media Conversation Topics Regarding Electric Vehicles in Indonesia Using Latent Dirichlet Allocation View
  5. Scarpino I, Zucco C, Cannataro M. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Characterization of Long COVID using text mining on narrative medicine texts View
  6. Kalantari N, Liao D, Motti V. 2021 IEEE International Conference on Big Data (Big Data). Characterizing the Online Discourse in Twitter: Users’ Reaction to Misinformation around COVID-19 in Twitter View
  7. Chan W, Na Chua H. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). Using Word2Vec-LDA-Word Mover Distance for Comparing the Patterns of Information Seeking and Sharing during the COVID-19 Pandemic View
  8. Abbasi N, Vahdat-Nejad H, Mansoor W, Salmani F. 2022 5th International Conference on Signal Processing and Information Security (ICSPIS). Extracting Drug-Related Tweets in COVID-19 Pandemic View
  9. Bopaiah J, Garimella K, Kavuluru R. 14th ACM Web Science Conference 2022. Opinions on Homeopathy for COVID-19 on Twitter View
  10. Hristova G, Netov N. 2022 IEEE International Conference on Big Data (Big Data). Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic View
  11. Aparicio J, Salema de Sequeira J, Costa C. 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). Emotion analysis of Portuguese Political Parties Communication over the covid-19 Pandemic View
  12. Mohan V, Vineetha S, Divya G, Gangula R. 2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE). Evaluation of Twitter Sentiment towards COVID-19 View
  13. Song Y, Wang X, Jia Y. 2021 6th International Conference on Big Data and Computing. Deep Learning-Based COVID-19 Twitter Analysis View
  14. Rahul K, Jindal B, Singh K, Meel P. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). Analysing Public Sentiments Regarding COVID-19 Vaccine on Twitter View
  15. Jatla S, Avula D. 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC). Hybrid Deep Model for Sentiment Analysis of COVID-19 Twitter Data View
  16. Sharma M, Parmar M. 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE). Sentiment Analysis of Twitter Dataset using Ensemble Classification Approach View
  17. Wu J, Wu X, Hua Y, Lin S, Zheng Y, Yang J. Proceedings of the ACM Web Conference 2023. Exploring Social Media for Early Detection of Depression in COVID-19 Patients View
  18. Mohan A, Gochhait S, Obaid A, Muthmainnah , Cardoso M. PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON X-RAY MICROSCOPY – XRM2022. Application of big data analytics for health care – A study on COVID-19 View
  19. Samonte M, Celestial A. 2023 The 6th International Conference on Software Engineering and Information Management. Exploring the Sentiments and Emotions in Tweets to Analyze the Impact of Covid-19 Vaccine in the Philippines View
  20. Nawarathne U, Kumari H. 2023 International Research Conference on Smart Computing and Systems Engineering (SCSE). A Sentiment Analysis of COVID-19 Tweets Data Using Different Word Embedding Techniques View
  21. Sharma S, Gochhait S. PROCEEDINGS OF THE TIM20-21 PHYSICS CONFERENCE. Information asymmetry in healthcare using decision making technologies in Covid 19 View
  22. Kongthon A. 2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP). Medical Artificial Intelligence Research Landscape in Thailand: A Bibliometric Analysis View
  23. Verma A, Bansal S, Gera P, Mohapatra A. 2023 6th International Conference on Contemporary Computing and Informatics (IC3I). Classifying Turkey Earthquake Tweets to Classify Them Based On Their Sentiment View
  24. Singh V, Kaushik H, Reshma . 2024 Second International Conference on Data Science and Information System (ICDSIS). Social Media Sentiment Analysis Using Twitter Dataset View
  25. Schnieder M, Dora M. 2024 IEEE Integrated STEM Education Conference (ISEC). Makerspaces – A Catalyst for Levelling-Up the UK and Skills Development in STEM Subjects: A Sentiment Analysis View
  26. Anam M, Firdaus M, Suandi F, Lathifah , Nasution T, Fadly S. 2024 International Conference on Future Technologies for Smart Society (ICFTSS). Performance Improvement of Machine Learning Algorithm Using Ensemble Method on Text Mining View
  27. Lai S, Wang T, Cao Z, Cai M, Tan S, Liu J, Lu X. 2024 Sixth International Conference on Next Generation Data-driven Networks (NGDN). Public Risk Perception Explains the Mitigation of COVID-19 View
  28. Schnieder M, Beltagui A. 2024 IEEE/ACIS 9th International Conference on Big Data, Cloud Computing, and Data Science (BCD). Understanding Co-Working Space Users: Aspect-Based Sentiment Analysis View
  29. Zhang Y, Bui H, Zipperle M, Buick F, Chand S, Hussain O, Wang M, Mo H, Zhang W. 2024 IEEE International Conference on e-Business Engineering (ICEBE). Perception Gaps Between Hashtag Stakeholders on X (Twitter) - Application on the Australian National Disability Insurance Scheme (#NDIS) View
  30. Sahu S, Patidar P, Pandey R, Verma R, Harne S, Tiwari R. 2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP). Enhancing Sentiment Analysis on US-Based Twitter Data through Stemming in Long Short-Term Memory (LSTM) Networks View

Dissertations

  1. . Education Research Based on Information Seeking with Data Mining. View