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Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.

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Title: Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.
Authors: Nguyen TT; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Yue X; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Mane H; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Seelman K; Department of Computer Science, University of Maryland, College Park, College Park, MD, United States., Mullaputi PSP; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Dennard E; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Alibilli AS; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Merchant JS; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States., Criss S; Department of Health Sciences, Furman University, Greenville, United States., Hswen Y; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, United States., Nguyen QC; Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2025 May 12; Vol. 27, pp. e72822. Date of Electronic Publication: 2025 May 12.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.
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