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BERTopic [17] is a more recent topic-modeling technique that has gained popularity for its ease of interpretation and ability to leverage Hugging Face transformers and class-based Term Frequency–Inverse Document Frequency (c-TF-IDF) to create dense clusters.
JMIR Public Health Surveill 2024;10:e59193
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The subsequent procedures used to produce the final dataset mirror those described by Stevens et al [20], using this expanded set of tweets. We briefly describe these procedures below.
The initial corpus of tweets was then subset to include only those with HIV-relevant content.
JMIR Public Health Surveill 2022;8(6):e32718
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Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review
Estimating demographics of twitter users(http:///C:/Users/user/Downloads/PAA _2017_Twitter_edited%20(
J Med Internet Res 2022;24(4):e35788
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Association Between HIV-Related Tweets and HIV Incidence in the United States: Infodemiology Study
J Med Internet Res 2020;22(6):e17196
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Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study
JMIR Public Health Surveill 2020;6(1):e16191
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