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

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Bibliographic Details
Title: Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study.
Authors: Lin, Shuo-Yu1 (AUTHOR), Tulabandu, Sahithi Kiran2 (AUTHOR), Koch, J Randy3 (AUTHOR), Hayes, Rashelle4 (AUTHOR), Barnes, Andrew5 (AUTHOR), Purohit, Hemant6 (AUTHOR), Chen, Songqing7 (AUTHOR), Han, Bo7 (AUTHOR), Xue, Hong1 (AUTHOR) hxue4@gmu.edu
Source: Journal of Medical Internet Research. 2024, Vol. 26, p1-12. 12p.
Database: Academic Search Ultimate
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Description
ISSN:14394456
DOI:10.2196/58919