What Twitter Can Tell Us about #IDWeek2020

Richard J. Medford, Sameh N Saleh

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We used topic modeling, subjectivity analysis, and social graph theory to analyze 11 944 tweets relating to IDWeek 2020. Twitter is a rich medium that can successfully disseminate knowledge and allow users to engage in social networks during a medical conference, despite a virtual format.

Original languageEnglish (US)
Article numberofaa621
JournalOpen Forum Infectious Diseases
Volume8
Issue number5
DOIs
StatePublished - May 1 2021

Keywords

  • IDWeek 2020
  • machine learning
  • natural language processing
  • social media
  • social network analysis
  • topic modeling
  • Twitter

ASJC Scopus subject areas

  • Oncology
  • Clinical Neurology

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