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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Infodemiology and Infoveillance (1369) JMIR Theme Issue: COVID-19 Special Issue (2461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Outbreak and Pandemic Preparedness and Management (1743)

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 (291) Tweetations (10) Metrics

Journals

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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 2024;50(3):312 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;6(2):411 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. Morita P, Zakir Hussain I, Kaur J, Lotto M, Butt Z. Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Journal of Medical Internet Research 2023;25:e44356 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;6(2):541 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;13(2):226 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 2024;83(1):279 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
  147. Drescher L, Roosen J, Aue K, Dressel K, Schär W, Götz A. Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf Twitter. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2023;66(6):689 View
  148. Luan Y, Sun L, Luo F, Stillwell D. Public emotional responses to crisis: The COVID‐19 pandemic in Wuhan and London. Social and Personality Psychology Compass 2023;17(8) View
  149. Sitaula C, Shahi T. Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features. Journal of Ambient Intelligence and Humanized Computing 2024;15(3):2047 View
  150. de Lima B, Baracho R, Mandl T, Porto P. Reactions to science communication: discovering social network topics using word embeddings and semantic knowledge. Social Network Analysis and Mining 2023;13(1) View
  151. Dong L, Liu Y. Frontiers of policy and governance research in a smart city and artificial intelligence: an advanced review based on natural language processing. Frontiers in Sustainable Cities 2023;5 View
  152. 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
  153. Tian Y, Zhang W, Duan L, McDonald W, Osgood N. Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada. Frontiers in Digital Health 2023;5 View
  154. Owuor I, Hochmair H. Temporal Relationship between Daily Reports of COVID-19 Infections and Related GDELT and Tweet Mentions. Geographies 2023;3(3):584 View
  155. Kim H, Bae S, Park J. Research Trends on Cancer-Related Cognitive Impairment in Patients with Non-Central Nervous System Cancer: Text Network Analysis and Topic Modeling. Journal of Korean Academy of Fundamentals of Nursing 2023;30(3):313 View
  156. Jorge O, Remiro M, Lotto M, Zakir Hussain I, Moreira M, Morita P, Cruvinel T. Unveiling deception: Characterizing false amber necklace messages on Facebook. International Journal of Paediatric Dentistry 2024;34(3):302 View
  157. Luo H, Meng X, Zhao Y, Cai M. Rise of social bots: The impact of social bots on public opinion dynamics in public health emergencies from an information ecology perspective. Telematics and Informatics 2023;85:102051 View
  158. Gulzar R, Gul S, Verma M, Darzi M, Gulzar F, Shueb S. Analyzing the online public sentiments related to Russia-Ukraine war over Twitter. Global Knowledge, Memory and Communication 2023 View
  159. Korená K, Pártlová P. Social Media as a Tool of Building Reputation and Identity of National Parks. Communication Today 2023:116 View
  160. Thakur N, Cui S, Khanna K, Knieling V, Duggal Y, Shao M. Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis. Computers 2023;12(11):221 View
  161. Meksawasdichai S, Lerksuthirat T, Ongphiphadhanakul B, Sriphrapradang C. Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data. JMIR Cancer 2023;9:e48786 View
  162. Xia X, Zhang Y, Jiang W, Wu C. Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders. Journal of Medical Internet Research 2023;25:e45757 View
  163. Al-Qablan T, Mohd Noor M, Al-Betar M, Khader A. A survey on sentiment analysis and its applications. Neural Computing and Applications 2023;35(29):21567 View
  164. POYOI P, GASSIOT-MELIAN A, COROMINA L. Local food experiences before and after COVID-19: a sentiment analysis of EWOM. Tourism and hospitality management 2024;29(4):477 View
  165. Akande O, Lawrence M, Ogedebe P. Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era. Journal of Electrical Systems and Information Technology 2023;10(1) View
  166. Zhao Y, Zhang L, Zeng C, Lu W, Chen Y, Fan T. Construction of an aspect-level sentiment analysis model for online medical reviews. Information Processing & Management 2023;60(6):103513 View
  167. Chen J, Li P, Wang X, Yi K. Above management: Scale development and empirical testing for public opinion monitoring of marine pollution. Marine Pollution Bulletin 2023;192:114953 View
  168. Brandt M, Vallabha S, Turner-Zwinkels F. The Onset of the COVID-19 Pandemic Made People Feel Threatened, but Had a Limited Impact on Political Attitudes in the United States. Personality and Social Psychology Bulletin 2023 View
  169. Córdoba-Cabús A, García-Borrego M, Ceballos Y. Sentiment Analysis toward the COVID-19 Vaccine in the Main Latin American Media on Twitter: The Cases of Argentina, Chile, Colombia, Mexico, and Peru. Vaccines 2023;11(10):1592 View
  170. Christodoulakis N, Abdelkader W, Lokker C, Cotterchio M, Griffith L, Vanderloo L, Anderson L. Public Health Surveillance of Behavioral Cancer Risk Factors During the COVID-19 Pandemic: Sentiment and Emotion Analysis of Twitter Data. JMIR Formative Research 2023;7:e46874 View
  171. Beierle F, Pryss R, Aizawa A. Sentiments about Mental Health on Twitter—Before and during the COVID-19 Pandemic. Healthcare 2023;11(21):2893 View
  172. Zhang J, Pan Y, Lin H, Sun Z, Wu P, Tu J. Infodemic: Challenges and solutions in topic discovery and data process. Archives of Public Health 2023;81(1) View
  173. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134 View
  174. 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
  175. 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
  176. Su M, Cheng D, Xu Y, Weng F. An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19. Expert Systems with Applications 2023;233:120938 View
  177. Miranda C, Sanchez-Torres G, Salcedo D. Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture. Data 2023;8(6):96 View
  178. Jeong D, Hwang S, Kim J, Yu H, Park E. Public perspective on renewable and other energy resources: Evidence from social media big data and sentiment analysis. Energy Strategy Reviews 2023;50:101243 View
  179. Kyröläinen A, Kuperman V. Emotional State of Older Adults During the COVID-19 Pandemic: Insights from the Cognitive and Social Well-Being (CoSoWELL) Corpus. Experimental Aging Research 2024;50(4):482 View
  180. Gong W, Jiang L, Guo Q, Shen F. The role of family communication patterns in intergenerational COVID-19 discussions and preventive behaviors: a social cognitive approach. BMC Psychology 2023;11(1) View
  181. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  182. Samaras L, García-Barriocanal E, Sicilia M. Sentiment analysis of COVID-19 cases in Greece using Twitter data. Expert Systems with Applications 2023;230:120577 View
  183. Zhang Q, Niu T, Yang J, Geng X, Lin Y. A study on the emotional and attitudinal behaviors of social media users under the sudden reopening policy of the Chinese government. Frontiers in Public Health 2023;11 View
  184. Sufi F, Alsulami M. Identifying drivers of COVID-19 vaccine sentiments for effective vaccination policy. Heliyon 2023;9(9):e19195 View
  185. Deng Z, Ma R, Wu M, Evans R. Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms. Kybernetes 2023 View
  186. Zimba O, Gasparyan A. Designing, Conducting, and Reporting Survey Studies: A Primer for Researchers. Journal of Korean Medical Science 2023;38(48) View
  187. Galvez-Hernandez P, Gonzalez-Viana A, Gonzalez-de Paz L, Shankardass K, Muntaner C. Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis. JMIR Public Health and Surveillance 2024;10:e50379 View
  188. Lopes A, Brotas A, Massarani L. A conversação pública acerca da vacina e da vacinação contra covid-19 no Twitter: um estudo infodemiológico. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46 View
  189. Lopes A, Brotas A, Massarani L. The public conversation about vaccines and vaccination against covid-19 on Twitter: an infodemiological study. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46 View
  190. 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
  191. Ueda R, Han F, Zhang H, Aoki T, Ogasawara K. Verification in the Early Stages of the COVID-19 Pandemic: Sentiment Analysis of Japanese Twitter Users. JMIR Infodemiology 2024;4:e37881 View
  192. Xin R, Lim Y. Bibliometric analysis of literature on social media trends during the COVID-19 pandemic. Online Information Review 2024;48(4):764 View
  193. Mukiri R, Burra V. RETRACTED: A Novel Vision Transformer Model for Rumor Prediction in COVID-19 Data CT Images. Journal of Intelligent & Fuzzy Systems 2024;46(2):3635 View
  194. Borghouts J, Huang Y, Hopfer S, Li C, Mark G. Wording Matters: The Effect of Linguistic Characteristics and Political Ideology on Resharing of COVID-19 Vaccine Tweets. ACM Transactions on Computer-Human Interaction 2024;31(4):1 View
  195. 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
  196. Chandrasekaran R, Konaraddi K, Sharma S, Moustakas E. Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube. Journal of Medical Systems 2024;48(1) View
  197. Aldosery A, Carruthers R, Kay K, Cave C, Reynolds P, Kostkova P. Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model. Frontiers in Public Health 2024;12 View
  198. Schenkel M. Health emergencies, science contrarianism and populism: A scoping review. Social Science & Medicine 2024;346:116691 View
  199. Wang H, Li Y, Ning X. News Coverage of the COVID-19 Pandemic on Social Media and the Public’s Negative Emotions: Computational Study. Journal of Medical Internet Research 2024;26:e48491 View
  200. Zhang A, Ong C. “We Are Bulletproof”: The Transcultural Power of Fandom in #StopAsianHate. Sociological Inquiry 2024;94(2):391 View
  201. Kusumaningrum R, Khoerunnisa S, Khadijah K, Syafrudin M. Exploring Community Awareness of Mangrove Ecosystem Preservation through Sentence-BERT and K-Means Clustering. Information 2024;15(3):165 View
  202. Lin B, Zou L, Zhao B, Huang X, Cai H, Yang M, Zhou B. Sensing the pulse of the pandemic: unveiling the geographical and demographic disparities of public sentiment toward COVID-19 through social media. Cartography and Geographic Information Science 2024;51(3):366 View
  203. Shahbazi M, Bunker D. Social media trust: Fighting misinformation in the time of crisis. International Journal of Information Management 2024;77:102780 View
  204. Molenaar A, Lukose D, Brennan L, Jenkins E, McCaffrey T. Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study. Journal of Medical Internet Research 2024;26:e47826 View
  205. Jacob N, Viswanatham V. Sentiment Analysis Using Improved Atom Search Optimizer With a Simulated Annealing and ReLU Based Gated Recurrent Unit. IEEE Access 2024;12:38944 View
  206. Esquirol B, Prignano L, Díaz-Guilera A, Cozzo E. Analyzing user activity on Twitter during long-lasting crisis events: a case study of the Covid-19 crisis in Spain. Social Network Analysis and Mining 2024;14(1) View
  207. Sandu A, Cotfas L, Stănescu A, Delcea C. A Bibliometric Analysis of Text Mining: Exploring the Use of Natural Language Processing in Social Media Research. Applied Sciences 2024;14(8):3144 View
  208. Whitfield C, Liu Y, Anwar M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. Journal of Racial and Ethnic Health Disparities 2024 View
  209. Chepo M, Martin S, Déom N, Khalid A, Vindrola-Padros C. Twitter Analysis of Health Care Workers’ Sentiment and Discourse Regarding Post–COVID-19 Condition in Children and Young People: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e50139 View
  210. Alhumayani M, Alhazmi H. Detecting Reported Side Effects of COVID-19 Vaccines From Arabic Twitter (X) Data. IEEE Access 2024;12:55367 View
  211. Kabasawa K, Tsuda K. Proposal for a system to identify the causes and triggers of stress in infertility patients. Procedia Computer Science 2024;234:62 View
  212. Xu X, Qiu Y, Huang H. How do English-Speaking Users Discuss the Wuhan Lockdown: A Longitudinal Analysis of Public Spheres on YouTube. Javnost - The Public 2024;31(2):270 View
  213. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View
  214. Xu Z, Fang Q, Huang Y, Xie M, Yadav J. The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling. PLOS ONE 2024;19(5):e0302502 View
  215. Gu S. Reimagining Tourist Engagement: Integrating ChatGPT into the Tourism Industry's Service Ecosystem. Qeios 2024 View
  216. Oh T, Song I. Deterioration in Quality of Life among COVID-19 Survivors: Population-Based Cohort Study. Journal of Personalized Medicine 2024;14(6):569 View
  217. Adebisi T. Knowledge of Play: A Precursor for Rethinking Sports Gambling Among Young Africans. Critical Gambling Studies 2024;4(2):52 View
  218. Jung H, Lee H, Woo Y, Baek S, Kim J, Khan H. Expansive data, extensive model: Investigating discussion topics around LLM through unsupervised machine learning in academic papers and news. PLOS ONE 2024;19(5):e0304680 View
  219. Wu D, Shead H, Ren Y, Raynor P, Tao Y, Villanueva H, Hung P, Li X, Brookshire R, Eichelberger K, Guille C, Litwin A, Olatosi B. Uncovering the Complexity of Perinatal Polysubstance Use Patterns on X: A Mixed Methods Approach (Preprint). Journal of Medical Internet Research 2023 View
  220. Batool A, Byun Y. Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation. IEEE Access 2024;12:81206 View
  221. Jaballi S, Hazar M, Zrigui S, Mahjoubi A, Nicolas H, Zrigui M, Bhadu M. Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models. Journal of Electrical and Computer Engineering 2024;2024(1) View
  222. Parthasarathy R, Rangarajan A, Garfield M, Bingi P. Global Perspective on EMR and eHealth. International Journal of Intelligent Information Technologies 2024;20(1):1 View
  223. Zhang S, Tsatsou P, McLaren L, Zhu Y. Comparing location-specific and location-open social media data: methodological lessons from a study of blaming of minorities on Twitter during the COVID-19 pandemic. Journal of Computational Social Science 2024;7(3):2457 View
  224. Vashchenko V. Topic modeling for short texts: comparative analysis of algorithms. Sociology: methodology, methods, mathematical modeling (Sociology: 4M) 2024;29(56):69 View
  225. Wu X, Gu G, Xie T, Zhao T, Min C. Unveiling evolving nationalistic discourses on social media: a cross-year analysis in pandemic. Humanities and Social Sciences Communications 2024;11(1) View
  226. Liu C, Tian Y, Shi Y, Huang Z, Shao Y. An analysis of public topics and sentiments based on social media during the COVID-19 Omicron Variant outbreak in Shanghai 2022. Computational Urban Science 2024;4(1) View
  227. JORGE O, REMIRO M, LOTTO M, CRUVINEL T. Exploring the factors driving higher interactions in false amber necklace posts on Facebook. Brazilian Oral Research 2024;38 View
  228. Ignaccolo C, Wibisono K, Sutto M, Plunz R. Tweeting during the Pandemic in New York City: Unveiling the Evolving Sentiment Landscape of NYC through a Spatiotemporal Analysis of Geolocated Tweets. Journal of Urban Technology 2024;31(3):3 View
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  232. Sy K, Chow T, Ickovics J, Ng R, Sarmiento I. Narratives of pregnancy across 19 Countries: Analysis of a 1.5-billion-word news media database. PLOS ONE 2024;19(8):e0305866 View
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  236. Chen T, Su L, Ng Y, Wang Y. A longitudinal analysis of usage patterns, topics, and information dissemination related to five names for cultured meat on social media. Current Research in Food Science 2024;9:100859 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
  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