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

Theme Issue: Medical Informatics and COVID-19 (118) JMIR Theme Issue: COVID-19 Special Issue (2493) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34306, first published .
Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Deep Neural Networks for Simultaneously Capturing Public Topics and Sentiments During a Pandemic: Application on a COVID-19 Tweet Data Set

Authors of this article:

Adrien Boukobza1, 2, 3 Author Orcid Image ;   Anita Burgun1, 2, 3 Author Orcid Image ;   Bertrand Roudier4 Author Orcid Image ;   Rosy Tsopra1, 2, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Ehiabhi J, Wang H. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. BioMedInformatics 2023;3(1):193 View
  2. Ueda M, Watanabe K, Sueki H. Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm. Journal of Medical Internet Research 2023;25:e44965 View
  3. Xue H, Zhang L, Liang H, Kuang L, Han H, Yang X, Guo L. Influenza trend prediction method combining Baidu index and support vector regression based on an improved particle swarm optimization algorithm. AIMS Mathematics 2023;8(11):25528 View
  4. Lossio-Ventura J, Weger R, Lee A, Guinee E, Chung J, Atlas L, Linos E, Pereira F. A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data. JMIR Mental Health 2024;11:e50150 View
  5. Huang G, Li Y, Jameel S, Long Y, Papanastasiou G. From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?. Computational and Structural Biotechnology Journal 2024;24:362 View
  6. 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

Conference Proceedings

  1. Alkhafaij M, Ali R, Al-luhiby H, Saleem M, Ali E, Habelalmateen M. 2023 6th International Conference on Engineering Technology and its Applications (IICETA). Exploiting COVID-19 Tweets for Sentiment Analysis Using Chameleon Optimization with Ensemble Learning View