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

JMIR Theme Issue: COVID-19 Special Issue (2554) Vaccination and Immunization in the Digital Age (442) COVID-19 Vaccination (179) Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Mass Media/Social Media Communication and Campaigns (574) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24435, first published .
COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis

COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis

COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis

Authors of this article:

Joanne Chen Lyu1 Author Orcid Image ;   Eileen Le Han2 Author Orcid Image ;   Garving K Luli3 Author Orcid Image
Article Authors Cited by (250) Tweetations (9) Metrics

Journals

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  105. Lokmanoglu A, Nisbet E, Osborne M, Tien J, Malloy S, Cueva Chacón L, Villa Turek E, Abhari R. Social Media Sentiment about COVID-19 Vaccination Predicts Vaccine Acceptance among Peruvian Social Media Users the Next Day. Vaccines 2023;11(4):817 View
  106. Lee J, Hameleers M, Shin S. The emotional effects of multimodal disinformation: How multimodality, issue relevance, and anxiety affect misperceptions about the flu vaccine. New Media & Society 2024;26(12):6838 View
  107. Liu B, You J, Huang L, Chen M, Shen Y, Xiong L, Zheng S, Huang M. The 100 Most-Cited Articles in COVID-19 Vaccine Hesitancy Based on Web of Science: A Bibliometric Analysis. Infection and Drug Resistance 2023;Volume 16:2625 View
  108. Vishwakarma A, Chugh M. COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India. Social Network Analysis and Mining 2023;13(1) View
  109. Shokoohyar S, Ghomi V, Jafari Gorizi A, Liang W, Sinclair A. Impact of COVID-19 outbreak and vaccination on ride-sharing services: a social media analysis. Transportation Letters 2024;16(6):527 View
  110. Li W, Sun R, He H, Chen L. How does three-dimensional landscape pattern affect urban residents' sentiments. Cities 2023;143:104619 View
  111. Zaidi Z, Ye M, Samon F, Jama A, Gopalakrishnan B, Gu C, Karunasekera S, Evans J, Kashima Y. Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets. Journal of Medical Internet Research 2023;25:e45069 View
  112. Liu Y, Shi J, Zhao C, Zhang C. Generalizing factors of COVID-19 vaccine attitudes in different regions: A summary generation and topic modeling approach. DIGITAL HEALTH 2023;9 View
  113. Shankar K, Chandrasekaran R, Jeripity Venkata P, Miketinas D. Investigating the Role of Nutrition in Enhancing Immunity During the COVID-19 Pandemic: Twitter Text-Mining Analysis. Journal of Medical Internet Research 2023;25:e47328 View
  114. KURNAZ A. Konu Modelleme Analizi ile İş İlanlarında İstenilen Pazarlama Becerilerinin Araştırılması. İktisadi İdari ve Siyasal Araştırmalar Dergisi 2023:937 View
  115. Wang Y, Willis E, Yeruva V, Ho D, Lee Y. A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises. BMC Public Health 2023;23(1) View
  116. Ma D, Zhang C, Zhao L, Huang Q, Liu B. An Analysis of the Evolution of Public Sentiment and Spatio-Temporal Dynamics Regarding Building Collapse Accidents Based on Sina Weibo Data. ISPRS International Journal of Geo-Information 2023;12(10):388 View
  117. Verjovsky M, Barreto M, Carmo I, Coutinho B, Thomer L, Lifschitz S, Jurberg C. Political quarrel overshadows vaccination advocacy: How the vaccine debate on Brazilian Twitter was framed by anti-vaxxers during Bolsonaro administration. Vaccine 2023;41(39):5715 View
  118. Li W, Haunert J, Knechtel J, Zhu J, Zhu Q, Dehbi Y. Social media insights on public perception and sentiment during and after disasters: The European floods in 2021 as a case study. Transactions in GIS 2023;27(6):1766 View
  119. Marshall D, McRee A, Gower A, Reiter P. Views about vaccines and how views changed during the COVID-19 pandemic among a national sample of young gay, bisexual, and other men who have sex with men. Human Vaccines & Immunotherapeutics 2023;19(3) View
  120. Lotto M, Zakir Hussain I, Kaur J, Butt Z, Cruvinel T, Morita P. Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study. Journal of Medical Internet Research 2023;25:e44586 View
  121. Zhou X, Song S, Zhang Y, Hou Z. Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study. Journal of Medical Internet Research 2023;25:e49753 View
  122. Verma M, Moudgil N, Goel G, Pardeshi P, Joseph J, Kumar N, Singh K, Singh H, Kodali P. People’s perceptions on COVID-19 vaccination: an analysis of twitter discourse from four countries. Scientific Reports 2023;13(1) View
  123. Cheng T, Han B, Liu Y. Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data. Frontiers in Public Health 2023;11 View
  124. Stiletto A, Cei L, Trestini S. A Little Bird Told Me… Nutri-Score Panoramas from a Flight over Europe, Connecting Science and Society. Nutrients 2023;15(15):3367 View
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  129. ShabaniMirzaei T, Chamani H, Abaskohi A, Zadeh Z, Bahrak B. A large-scale analysis of Persian Tweets regarding Covid-19 vaccination. Social Network Analysis and Mining 2023;13(1) View
  130. Liu Z, Orr S, Kumar P, Grau-Bove J. Measuring the impact of COVID-19 on heritage sites in the UK using social media data. Humanities and Social Sciences Communications 2023;10(1) View
  131. Peschke L, Gyftopoulos S, Kapusuzoğlu A, Folkvord F, Gümüş Ağca Y, Kaldoudi E, Drosatos G, Ceylan N, Pecchia L, Güneş Peschke S. Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic. Journal of the Knowledge Economy 2023;15(3):12881 View
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  133. Lu M, Ali M, Zhang W, Kumar N. Mediation analysis of public emotions in response to policy implementation performance during crises: the case of COVID-19 management policies in the UK. Public Management Review 2024;26(8):2499 View
  134. Biswas M, Shah Z. Extracting factors associated with vaccination from Twitter data and mapping to behavioral models. Human Vaccines & Immunotherapeutics 2023;19(3) View
  135. Kim Saxton M, Colby H, Saxton T, Pasumarti V. Why or How? the impact of Construal-Level Theory on vaccine message receptivity. Journal of Business Research 2024;172:114436 View
  136. Sigalo N, Frias-Martinez V. Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study. JMIR Infodemiology 2023;3:e43700 View
  137. Harada N, Kuzmichev A, Dean H. COVID-19 Response of the Journal Public Health Reports (PHR), March 2020–March 2023. Public Health Reports® 2024;139(2):154 View
  138. Sandu A, Cotfas L, Delcea C, Crăciun L, Molănescu A. Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective. Information 2023;14(12):659 View
  139. Ahammad T. Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach. Natural Language Processing Journal 2024;6:100053 View
  140. Tasențe T, Carataș M, Alabdullah T. Analysis of sentiment in the European Central Bank’s social media activity during the Covid-19 pandemic and Ukraine War: A navigating crisis communication. Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales 2024 View
  141. Wang Y, Wang X, Zhang J, Shi M, Wanta W. Tracking attention about COVID-19 vaccines on twitter and newspapers: A dynamic agenda-setting approach. Telematics and Informatics Reports 2024;13:100122 View
  142. Kolandai K, Milne B, von Randow M, Bullen C, Marsh S, Crump J. Public opinion on global COVID-19 vaccine procurement and distribution policies: A nationally representative survey in Aotearoa New Zealand 2022. Vaccine 2024;42(6):1372 View
  143. Gyftopoulos S, Drosatos G, Fico G, Pecchia L, Kaldoudi E. Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public. Behavioral Sciences 2024;14(2):128 View
  144. Zou H, Hyland K. “People should get their booster”. International Journal of Corpus Linguistics 2024;29(4):447 View
  145. Morita P, Lotto M, Kaur J, Chumachenko D, Oetomo A, Espiritu K, Hussain I. What is the impact of artificial intelligence-based chatbots on infodemic management?. Frontiers in Public Health 2024;12 View
  146. Zhang A, Ong C. “We Are Bulletproof”: The Transcultural Power of Fandom in #StopAsianHate. Sociological Inquiry 2024;94(2):391 View
  147. Sipilä J, Tarkiainen A, Levänen J. Exploration of public discussion around sustainable consumption on social media. Resources, Conservation and Recycling 2024;204:107505 View
  148. Kamba M, She W, Ferawati K, Wakamiya S, Aramaki E. Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences. JMIR Infodemiology 2024;4:e49699 View
  149. Mehra V, Singh P, Bharany S, Sawhney R. Sports, crisis, and social media: a Twitter-based exploration of the Tokyo Olympics in the COVID-19 era. Social Network Analysis and Mining 2024;14(1) View
  150. Li Y, Chen M, Lee H. Health communication on social media at the early stage of the pandemic: Examining health professionals’ COVID-19 related tweets. Social Science & Medicine 2024;347:116748 View
  151. Nelson V, Bashyal B, Tan P, Argyris Y. Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance. Social Science & Medicine 2024;348:116775 View
  152. Bhatia T, Rathi S, Singh T, Naha B. Sentiment Analysis of Covid Vaccine Myths using Various Data Visualization Tools. EAI Endorsed Transactions on Pervasive Health and Technology 2024;10 View
  153. Zhang J, Wang Y, Mouton M, Zhang J, Shi M. Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis. Journal of Medical Internet Research 2024;26:e53375 View
  154. Mamo Y, Crompton H, Burke D, Nickel C. Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X. TechTrends 2024;68(3):520 View
  155. Tarango García A, Lugo-Reyes S, Alvarez Cardona A. Análisis de sentimientos acerca de la inmunoterapia con alérgenos en Twitter mediante un modelo de procesamiento natural de lenguaje. Revista Alergia México 2024;71(1):8 View
  156. Mondal H, Mickael M, Matin M, Hrg D, Smith M, Matin F, Stoyanov J, Parvanov E, Atanasov A. The power of #physiotherapy: a social media hashtag investigation on X (formerly Twitter). Exploration of Digital Health Technologies 2024;(3):135 View
  157. Correia J, Ahmad S, Waqas A, Meraj H, Pataky Z. Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e52142 View
  158. Roh G, Lee S, Kim J, Lee S. SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance. Expert Systems with Applications 2024;255:124684 View
  159. Sarracino F, Greyling T, O'Connor K, Peroni C, Rossouw S. Trust predicts compliance with COVID-19 containment policies: Evidence from ten countries using big data. Economics & Human Biology 2024;54:101412 View
  160. Vashchenko V. Topic modeling for short texts: comparative analysis of algorithms. Sociology: methodology, methods, mathematical modeling (Sociology: 4M) 2024;29(56):69 View
  161. Choi S, Eom S. Using Twitter to fight the COVID-19 pandemic: the case of United States governors. Public Management Review 2025;27(12):3006 View
  162. Santos P, Oliveira L, Lima M, Souza D, Silva J, Oliveira G, Brom P, Chahad A, Lopes C, Silva M, Batista K. Exploring public-private partnerships in Latin America and the Caribbean using topic modeling and sentiment analysis. Caderno Pedagógico 2024;21(9):e7428 View
  163. Takedomi Y, Nakayama Y, Suda T, Uno T, Hashimoto T, Toyoda M, Yoshinaga N, Kitsuregawa M, Kobayashi R. Evolution of COVID-19 Vaccination-related Topics on Twitter. Transactions of the Japanese Society for Artificial Intelligence 2024;39(5):C-N93_1 View
  164. Mazzeo Rinaldi F, Miracula V, Picone A, Occhipinti O. Public sentiment on the Israeli–Palestinian conflict: insights from YouTube, Mastodon, and Google Trends. Mathematical Population Studies 2024;31(4):242 View
  165. Rouhani S, Mozaffari F. Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification. Artificial Intelligence in Medicine 2024;157:102980 View
  166. Liu Y, Zhao C, Zhang C. Understanding COVID-19 vaccine hesitancy of different regions in the post-epidemic era: A causality deep learning approach. DIGITAL HEALTH 2024;10 View
  167. Kang X, Stamolampros P. Unveiling public perceptions at the beginning of lockdown: an application of structural topic modeling and sentiment analysis in the UK and India. BMC Public Health 2024;24(1) View
  168. Liu M, Yuan S, Li B, Zhang Y, Liu J, Guan C, Chen Q, Ruan J, Xie L. Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis. Journal of Medical Internet Research 2024;26:e58518 View
  169. Ayaz H, Celik M, Koytak H, Yanik I, Dovrolis C. Exploring vaccine hesitancy in digital public discourse: From tribal polarization to socio-economic disparities. PLOS ONE 2024;19(11):e0308122 View
  170. Xu J, Wu Z, Wass L, Larson H, Lin L. Mapping global public perspectives on mRNA vaccines and therapeutics. npj Vaccines 2024;9(1) View
  171. Ahmad H, Azhar A, Algosaibi A, Hussain J. Understanding Fluctuations in Public Opinion toward COVID-19 Vaccines: Insights from Social Media Analysis. Sage Open 2024;14(4) View
  172. Martinez L, Savage M, Williams D, Alvarado J, Cordon-Mulbry C, Dickerson D, Roquia R, Spitzberg B, Peddecord M, Issa E, Tsou M. Exploring Sentiment, Values, and Misinformation Surrounding Vaccination Legislation on Twitter: A Case Study of California’s Passage of SB277. Health Communication 2025;40(10):1967 View
  173. Bhagavathula A, Daglis T, Chattu V. Temporal trends in online searches related to COVID-19 vaccine safety: A digital infodemiology study. Health Promotion Perspectives 2024;14(3):304 View
  174. Xu J, Guo D, Wu J, Xu J. Can social media promote vaccination? Strategies and effectiveness of COVID-19 vaccine popularization on Chinese Weibo. Frontiers in Public Health 2024;12 View
  175. Chen G, Tan B, Laham N, Tracey T, Lapinski S, Liu Y. A Bibliometric Review of Natural Language Processing Applications in Psychology from 1991 to 2023. Basic and Applied Social Psychology 2025;47(2):105 View
  176. Sun H, Zhang R, Li X, Tang K. Mapping the AIDS Week Health Campaign on Social Media in China: A Mixed-Method Study. Health Communication 2025;40(10):2071 View
  177. Parveen S, Pereira A, Garzon-Orjuela N, McHugh P, Surendran A, Vornhagen H, Vellinga A. COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source. JMIR Formative Research 2025;9:e59687 View
  178. Weerasinghe S, Oyebode O, Orji R. “No claims, no trials, no compensation. Just roll up your sleeve”: social media communication on vaccine uptake sentiments in Canada. Health & New Media Research 2024;8(2):33 View
  179. Williams L, Craig L, Peacock E, Fields T, Al-Dahir S, Hawkins F, Gillard C, Singleton B, Theall K, Wilson M, D’Amour G, Vu M, Sylvain C, Franklin L, Caldwell K, Krousel-Wood M, Sarpong D. Exploring the Roles of Trust, Attitudes, and Motivations in COVID-19 Decision-Making and Vaccination Likelihood: Insights from the Louisiana Community Engagement Alliance (LA-CEAL) Community—Academic—Public Health—Practice (CAPP) Partnership. International Journal of Environmental Research and Public Health 2024;22(1):48 View
  180. Loschke C, Braungardt S, Rieger J. What motivates and demotivates energy savings in times of crisis? – An argument mining analysis using X/Twitter data. Energy Efficiency 2025;18(1) View
  181. Jameel R, Greenfield S, Lavis A. A thematic analysis of UK COVID-19 vaccine hesitancy discussions on Twitter. BMC Public Health 2025;25(1) View
  182. Chen Y, Pei L, Lei Y. A review of mathematical researches on the COVID-19 pandemic. International Journal of Dynamics and Control 2025;13(1) View
  183. Li W, Hua Y, Zhou P, Zhou L, Xu X, Yang J. Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research 2025;27:e63755 View
  184. Zheng Y, Tian M, Chen J, Zhang L, Gao J, Li X, Wen J, Qu X. Public Attitudes Toward Violence Against Doctors: Sentiment Analysis of Chinese Users. JMIR Medical Informatics 2025;13:e63772 View
  185. Hwang H, Kim N, You J, Ryu H, Kim S, Yoon Park J, Lee K. Harnessing Social Media Data to Understand Information Needs About Kidney Diseases and Emotional Experiences With Disease Management: Topic and Sentiment Analysis. Journal of Medical Internet Research 2025;27:e64838 View
  186. Huai P, Zhang B, Zhang L, Hou Y, Zhang L, Yang H, Guo J. Based on the multi-theory model perspective, what are the influencing factors of health behavior change among community-dwelling elderly patients with type 2 diabetes in China? A qualitative study. Diabetes Research and Clinical Practice 2025;222:112096 View
  187. Wang Y, Wei M, Wang P, Gao Y, Yu T, Meng N, Liu H, Zhang X, Wang K, Wu Q. Insight into public sentiment and demand in China’s public health emergency response: a weibo data analysis. BMC Public Health 2025;25(1) View
  188. Kessy A, Onuekwe C, Mwengee W, Tumaini H. The role of media and community engagement in COVID-19 vaccinations in Tanzania. Journal of Public Health in Africa 2025;16(3) View
  189. Paradise Vit A, Magid A. Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis. JMIR Infodemiology 2025;5:e70576 View
  190. Fu H, Oh S. Vaccine disclosure and vaccine hesitancy on social Q&A: comparing topical differences and user engagement in COVID-19 vs non-COVID-19 vaccine questions. Aslib Journal of Information Management 2025 View
  191. Yu J, Domahidi E, Benmaarouf K, Steinmetz N. Quantity or quality? Comparing social media data sampling strategies for government crisis communication research. International Journal of Disaster Risk Reduction 2025;124:105531 View
  192. Zhou C, Zhao Y. A Study of Discourse on COVID-19 Vaccines from Conspiracy Communities on Reddit Using Topic Modeling and Sentiment Analysis. Health Communication 2025:1 View
  193. Omojowo F, Osaghae E, Kolajo T. Evaluating COVID-19 public discourse for sentiment, topic, and geolocation analysis. Journal of Electrical Systems and Information Technology 2025;12(1) View
  194. Çinko L, Merter A, Balcıoğlu Y, Çerez S, Alataş G. Weekdays vs. Weekends: How Reporting Timing Influences the Sentiment of Annual Reports. Borsa Istanbul Review 2025 View
  195. Almanna M, Elkaim L, Alvi M, Levett J, Li B, Mamdani M, Al‑Omran M, Alotaibi N. Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study. JMIR Formative Research 2025;9:e60859 View
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  197. Chen B, Cao X, Borah P. Vaccine communication strategies and audience engagement: Analyzing CDC’s vaccine communication on Twitter. Atlantic Journal of Communication 2025:1 View
  198. Langbecker A, Catalan-Matamoros D. The public debate of covid-19 vaccines on social media: a systematic review. Heliyon 2025;11(13):e43632 View
  199. Oh J, Kim J. YouTube as a social listening tool: Mining housing discourse on YouTube. Cities 2025;166:106279 View
  200. Li J, Shen J. The Necessity of Phased Research: Sentiment Fluctuations in Online Comments Caused by Product Value. Journal of Theoretical and Applied Electronic Commerce Research 2025;20(3):185 View
  201. Araghi M, Sahota A, Czachorowski M, Naicker K, Bohm N, Phillipps K, Gaddum J, Cook E. Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022). JMIR Formative Research 2025;9:e63997 View
  202. Song Y, Zhang Y, Zou S, Yang X, Huang Q. The spread of pro- and anti-vaccine views by coordinated communities on facebook during COVID-19 pandemic. Journal of Computational Social Science 2025;8(4) View
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  206. Tang R, Zhu P, Yan R, Zhou Y, Tang Z, He W. Personalized insights into urinary tract infection management: A text mining analysis of online consultation data. DIGITAL HEALTH 2025;11 View
  207. Wehrli S, Hartner A, Boender T, Arnrich B, Irrgang C. Information Pathways and Voids in Critical German Online Communities During the COVID-19 Vaccination Discourse: Cross-Platform and Mixed Methods Analysis. Journal of Medical Internet Research 2025;27:e76309 View
  208. Boland K, Starke C, Bensmann F, Marcinkowski F, Dietze S. Themes, Policies, and Attention Shifts Regarding COVID-19 Vaccinations in German-Speaking Regions: Infoveillance Study Using Tweets. Journal of Medical Internet Research 2025;27:e63909 View

Books/Policy Documents

  1. Utsu K, Yagi N, Fukushima A, Takemori Y, Okazaki A, Uchida O. Information Technology in Disaster Risk Reduction. View
  2. Lezama Sánchez A, Tovar Vidal M, Reyes-Ortiz J. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3. View
  3. Dhir K, Singh P, Dwivedi Y, Sawhney S, Sawhney R. Co-creating for Context in the Transfer and Diffusion of IT. View
  4. Pachlore A, Chakkarwar V. Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). View
  5. Kusbaryanto , Fathurrohmanuthor . Intelligent Sustainable Systems. View
  6. Okeya-Olayinka A. Public Health Communication Challenges to Minority and Indigenous Communities. View
  7. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View
  8. Sarker A. Natural Language Processing in Biomedicine. View
  9. Rossouw S, Greyling T. Resistance to COVID-19 Vaccination. View
  10. Cavanagh A. Anti-Vaccination and the Media. View
  11. Madzík P, Falát L. Text Mining in Educational Research. View
  12. Faisal H, Zannat R, Arman Z. Oxford Intersections: Social Media in Society and Culture. View
  13. Alkubaisi A, Aljawadi A, Abdallah W, Harraf A. Leveraging Advanced Technologies: Business Model Innovation and the Future. View
  14. Srivastava S, Sarkar M, Chakraborty C. Applications of Artificial Intelligence and Data Science. View

Conference Proceedings

  1. Latifah R, Baddalwan R, Meilina P, Saputra A, Adharani Y. 2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS. Sentiment Analysis of COVID-19 Vaccines from Indonesian Tweets and News Headlines using Various Machine Learning Techniques View
  2. Platonov K, Svetlov K, Saifulina V. 2022 32nd Conference of Open Innovations Association (FRUCT). Discourse on Vaccination on Russian Social Media: Topics and Controversy View
  3. Chitra K, Tamilarasi A, Hemalatha S, Madhumitha T, Keerthana P, Gopika Dharani S. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). Sentiment Analysis on Covid-19 Vaccine View
  4. Lee S, Kishore S, Lim J, Paas L, Ahn H. TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON). Overwhelmed by Fear: Emotion Analysis of COVID-19 Vaccination Tweets View
  5. Emre Palavar Y, Celik Z, Albayrak A, Ozcelik E, Erdil M. 2022 2nd International Conference on Computing and Machine Intelligence (ICMI). Analysis of the Covid-19 Process in Terms of Health Managers View
  6. Silalahi S, Arini H, Mulyani Y. THE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 2021. Topic modelling and sentiment analysis during Covid-19 pandemic response: A systematic review View
  7. Nwafor E, Vaughan R, Kolimago C. 2021 IEEE International Conference on Big Data (Big Data). Covid Vaccine Sentiment Analysis by Geographic Region View
  8. Kitchat K, Limjumroonrat K, Surasak T. 2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET). Twitter Sentiment Analysis towards COVID-19 Vaccines: A Case Study in New York City View
  9. Ismail Q, Obeidat R, Alissa K, Al-Sobh E. 2022 13th International Conference on Information and Communication Systems (ICICS). Sentiment Analysis of COVID-19 Vaccination Responses From Twitter Using Ensemble Learning View
  10. Alorini G, Rawat D. 2022 IEEE Global Humanitarian Technology Conference (GHTC). Social Media Data-Driven Sentiment Analysis for COVID-19 and COVID-19 Vaccines View
  11. Hashimoto T, Uno T, Takedomi Y, Shepard D, Toyoda M, Yoshinaga N, Kitsuregawa M, Kobayashi R. 2021 IEEE International Conference on Big Data (Big Data). Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter View
  12. Prabagar K, Srikandabala K, Loganathan N, De Silva D, Gamage G, Rathnayaka P, Perera A, Alahakoon D. 2022 15th International Conference on Human System Interaction (HSI). Investigating COVID-19 Vaccine Messaging in Online Social Networks using Artificial Intelligence View
  13. Flocco D, Palmer-Toy B, Wang R, Zhu H, Sonthalia R, Lin J, Bertozzi A, Jeffrey Brantingham P. 2021 IEEE International Conference on Big Data (Big Data). An Analysis of COVID-19 Knowledge Graph Construction and Applications View
  14. Zhunis A, Lima G, Song H, Han J, Cha M. Proceedings of the ACM Web Conference 2022. Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak View
  15. David U, Karabatak M. 2022 10th International Symposium on Digital Forensics and Security (ISDFS). Text Clustering of COVID-19 Vaccine Tweets View
  16. Maulana F, Adi P, Lestari D, Purnomo A, Prihatin S. 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). Twitter Data Sentiment Analysis of COVID-19 Vaccination using Machine Learning View
  17. Karam M, Imran A, Alzahrani A, Ali Alheeti K, Abbas A, Najem Al-Aloosy A. 2022 International Conference on Electrical Engineering and Sustainable Technologies (ICEEST). Dramatic Increase in Fear-Related Discussion on Twitter during COVID-19: Analysis, Topic Modeling and Tweets Classification View
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