PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Communication, Texas A&M University, College Station, TX, United States.\', \'Jack J Valenti School of Communication, University of Houston, Houston, TX, United States.\', \'Department of Computer Science, Rice University, Houston, TX, United States.\', \'School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States.\', \'Department of Journalism and Mass Communication, North Carolina A&T State University, Greensboro, NC, United States.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.2196/26720
?:doi
?:hasPublicationType
?:journal
  • JMIR public health and surveillance
is ?:pmid of
?:pmid
?:pmid
  • 33847587
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Texas Public Agencies\' Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all