Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
Original languageEnglish
Pages (from-to)37570-37601
Number of pages32
JournalIEEE Access
Volume11
DOIs
Publication statusPublished - 2023

ASJC Scopus Subject Areas

  • General Engineering
  • General Materials Science
  • Electrical and Electronic Engineering
  • General Computer Science

Keywords

  • AIDS
  • HIV
  • Sentiment analysis
  • machine learning
  • textual mining
  • thematic analysis
  • tweets

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