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

Infodemiology and Infoveillance (1274) New Methods (909) Natural Language Processing (644) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Machine Learning (1385) Innovative Methods in Public Health and Surveillance (306)

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 (25) Tweetations (7) Metrics

Journals

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  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
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  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
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  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