Understanding online sentiment toward waterpipe tobacco smoking by applying deep-learning language models to Twitter posts (2021-2023) in the United States.
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| Title: | Understanding online sentiment toward waterpipe tobacco smoking by applying deep-learning language models to Twitter posts (2021-2023) in the United States. |
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| Authors: | Xie Z; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14642, United States., Ye P; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States., Wu M; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States., Han Y; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States., Shimazaki Y; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States., Ross JC; Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA 02118, United States., Sutfin EL; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States., Li D; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14642, United States. |
| Source: | Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco [Nicotine Tob Res] 2026 Apr 27. Date of Electronic Publication: 2026 Apr 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9815751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-994X (Electronic) Linking ISSN: 14622203 NLM ISO Abbreviation: Nicotine Tob Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42044049 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Understanding online sentiment toward waterpipe tobacco smoking by applying deep-learning language models to Twitter posts (2021-2023) in the United States. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Xie+Z%22">Xie Z</searchLink>; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14642, United States.<br /><searchLink fieldCode="AU" term="%22Ye+P%22">Ye P</searchLink>; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States.<br /><searchLink fieldCode="AU" term="%22Wu+M%22">Wu M</searchLink>; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States.<br /><searchLink fieldCode="AU" term="%22Han+Y%22">Han Y</searchLink>; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States.<br /><searchLink fieldCode="AU" term="%22Shimazaki+Y%22">Shimazaki Y</searchLink>; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States.<br /><searchLink fieldCode="AU" term="%22Ross+JC%22">Ross JC</searchLink>; Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA 02118, United States.<br /><searchLink fieldCode="AU" term="%22Sutfin+EL%22">Sutfin EL</searchLink>; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.<br /><searchLink fieldCode="AU" term="%22Li+D%22">Li D</searchLink>; Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY 14642, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229815751%22">Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco</searchLink> [Nicotine Tob Res] 2026 Apr 27. <i>Date of Electronic Publication: </i>2026 Apr 27. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9815751 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-994X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214622203%22">14622203 </searchLink><i>NLM ISO Abbreviation: </i>Nicotine Tob Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42044049 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/ntr/ntag048 Languages: – Code: eng Text: English Titles: – TitleFull: Understanding online sentiment toward waterpipe tobacco smoking by applying deep-learning language models to Twitter posts (2021-2023) in the United States. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xie Z – PersonEntity: Name: NameFull: Ye P – PersonEntity: Name: NameFull: Wu M – PersonEntity: Name: NameFull: Han Y – PersonEntity: Name: NameFull: Shimazaki Y – PersonEntity: Name: NameFull: Ross JC – PersonEntity: Name: NameFull: Sutfin EL – PersonEntity: Name: NameFull: Li D IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 04 Text: 2026 Apr 27 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1469-994X Titles: – TitleFull: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Type: main |
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