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

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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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  Data: Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Shuo-Yu%22">Lin, Shuo-Yu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tulabandu%2C+Sahithi+Kiran%22">Tulabandu, Sahithi Kiran</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koch%2C+J+Randy%22">Koch, J Randy</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hayes%2C+Rashelle%22">Hayes, Rashelle</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barnes%2C+Andrew%22">Barnes, Andrew</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Purohit%2C+Hemant%22">Purohit, Hemant</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Songqing%22">Chen, Songqing</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Bo%22">Han, Bo</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xue%2C+Hong%22">Xue, Hong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hxue4@gmu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2024, Vol. 26, p1-12. 12p.
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        Value: 10.2196/58919
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        Text: English
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        PageCount: 12
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      – TitleFull: Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study.
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              Text: 2024
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