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

Public (e)Health, Digital Epidemiology and Public Health Informatics (841) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1763) Natural Language Processing (781) Infoveillance and Social Listening (235) Social Media in Public Health informatics (49) Smoking and Vaping in Adolescence (30)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58919, first published .
Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study

Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study

Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study

Authors of this article:

Shuo-Yu Lin1 Author Orcid Image ;   Sahithi Kiran Tulabandu2 Author Orcid Image ;   J Randy Koch3 Author Orcid Image ;   Rashelle Hayes4 Author Orcid Image ;   Andrew Barnes5 Author Orcid Image ;   Hemant Purohit6 Author Orcid Image ;   Songqing Chen7 Author Orcid Image ;   Bo Han7 Author Orcid Image ;   Hong Xue1 Author Orcid Image
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【論文情報】 ソーシャルメディアデータを用いた自然言語処理による連邦電子タバコ規制に対する国民の反応分析：トピックモデリング研究。 #PubMed #DeepL https://t.co/LMzbButNhm

5:54 AM · Oct 02, 2024

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