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
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
Thu T Nguyen
1
* , SCD, MSPH ;
Xiaohe Yue
1
* , MS ;
Heran Mane
1
* , BS ;
Kyle Seelman
2
* , BS ;
Penchala Sai Priya Mullaputi
1
* , MS ;
Elizabeth Dennard
1
* , MPH ;
Amrutha S Alibilli
1
* ;
Junaid S Merchant
1
, MS, PhD ;
Shaniece Criss
3
* , MPH, MPA, SCD ;
Yulin Hswen
4
* , MPH, SCD ;
Quynh C Nguyen
1
, MSPH, PhD
1
Department of Epidemiology and Biostatistics, University of Maryland, College Park, College Park, MD, United States
2
Department of Computer Science, University of Maryland, College Park, College Park, MD, United States
3
Department of Health Sciences, Furman University, Greenville, United States
4
Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, United States
*these authors contributed equally
Corresponding Author:
-
Thu T Nguyen, SCD, MSPH
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Department of Epidemiology and Biostatistics
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University of Maryland, College Park
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4254 Stadium Dr.
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College Park, MD 20742
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United States
-
Phone:
1 301-405-6589
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Email: ttxn@umd.edu