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

Infodemiology and Infoveillance (1565) New Methods (1140) Natural Language Processing (923) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142) Machine Learning (2095) Innovative Methods in Public Health and Surveillance (388)

Published on in Vol 21, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12783, first published .
Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations

Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations

Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and Evaluations

Authors of this article:

Shoko Wakamiya1, 2, 3 Author Orcid Image ;   Mizuki Morita4 Author Orcid Image ;   Yoshinobu Kano5 Author Orcid Image ;   Tomoko Ohkuma6 Author Orcid Image ;   Eiji Aramaki1, 2, 3 Author Orcid Image
Article Authors Cited by (27) Tweetations (7) Metrics

Journals

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  2. Alessa A, Faezipour M. Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study. JMIR Public Health and Surveillance 2019;5(2):e12383 View
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  7. Pereira-Sanchez V, Alvarez-Mon M, Asunsolo del Barco A, Alvarez-Mon M, Teo A. Exploring the Extent of the Hikikomori Phenomenon on Twitter: Mixed Methods Study of Western Language Tweets. Journal of Medical Internet Research 2019;21(5):e14167 View
  8. KÜÇÜK D, ARICI N, KÜÇÜK E. Sosyal medyada otomatik halk sağlığı takibi: Güncel bir derleme. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2021 View
  9. Alomari E, Katib I, Albeshri A, Mehmood R. COVID-19: Detecting Government Pandemic Measures and Public Concerns from Twitter Arabic Data Using Distributed Machine Learning. International Journal of Environmental Research and Public Health 2021;18(1):282 View
  10. Alvarez-Mon M, Donat-Vargas C, Llavero-Valero M, Gea A, Alvarez-Mon M, Martinez-Gonzalez M, Lopez-del Burgo C. Analysis of Media Outlets on Women's Health: Thematic and Quantitative Analyses Using Twitter. Frontiers in Public Health 2021;9 View
  11. Amin S, Irfan Uddin M, Ali Zeb M, Abdulsalam Alarood A, Mahmoud M, H. Alkinani M. Detecting Information on the Spread of Dengue on Twitter Using Artificial Neural Networks. Computers, Materials & Continua 2021;67(1):1317 View
  12. Dey V, Krasniak P, Nguyen M, Lee C, Ning X. A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness. JMIR Medical Informatics 2021;9(11):e29768 View
  13. Li L, Sampson R, Ding S, Song L. TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media. Information Processing & Management 2022;59(2):102857 View
  14. Bartmess M, Talbot C, O’Dwyer S, Lopez R, Rose K, Anderson J. Using Twitter to understand perspectives and experiences of dementia and caregiving at the beginning of the COVID-19 pandemic. Dementia 2022;21(5):1734 View
  15. Nawaz F, Riaz M, Tsagkaris C, Faisal U, Klager E, Kletecka-Pulker M, Kimberger O, Willschke H, Khan N, Sultan M, Atanasov A. Impact of #PsychTwitter in promoting global psychiatry: A hashtag analysis study. Frontiers in Public Health 2023;11 View
  16. Zhang J, Xu W, Lei C, Pu Y, Zhang Y, Zhang J, Yu H, Su X, Huang Y, Gong R, Zhang L, Shi Q. Using Clinician-Patient WeChat Group Communication Data to Identify Symptom Burdens in Patients With Uterine Fibroids Under Focused Ultrasound Ablation Surgery Treatment: Qualitative Study. JMIR Formative Research 2023;7:e43995 View
  17. Maeda-Minami A, Yoshino T, Yumoto T, Sato K, Sagara A, Inaba K, Kominato H, Kimura T, Takishita T, Watanabe G, Nakamura T, Mano Y, Horiba Y, Watanabe K, Kamei J. Development of a novel drug information provision system for Kampo medicine using natural language processing technology. BMC Medical Informatics and Decision Making 2023;23(1) View
  18. Ezeilo C, Leon N, Jajodia A, Han H. Use of Social Media for Health Advocacy for Digital Communities: Descriptive Study. JMIR Formative Research 2023;7:e51752 View
  19. Ohno Y, Kato R, Ishikawa H, Nishiyama T, Isawa M, Mochizuki M, Aramaki E, Aomori T. Using the Natural Language Processing System Medical Named Entity Recognition-Japanese to Analyze Pharmaceutical Care Records: Natural Language Processing Analysis. JMIR Formative Research 2024;8:e55798 View
  20. Amin S, Zeb M, Alshahrani H, Hamdi M, Alsulami M, Shaikh A. Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques: A Comprehensive Review and Open Challenges. Computer Modeling in Engineering & Sciences 2024;139(2):1167 View
  21. CHAMORRO R, KISHIMOTO K, LIU C, SANTOS L, MORI Y, YAMAMOTO G, KURODA T. BERTopic Implementation for ‘X’ Data Analysis: Blood Donation in the Japanese Context. Advanced Biomedical Engineering 2025;14(0):328 View

Conference Proceedings

  1. Shaghaghi N, Kamdar Y, Huang R, Calle A, Mirchandani J, Castillo M. 2022 14th Biomedical Engineering International Conference (BMEiCON). Attempts at Enhancing eVision’s Influenza Forecasting Using Social Media View
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