“When 'bad' is 'good'”: Identifying personal communication and sentiment in drug-related tweets

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numbere162
JournalJMIR Public Health and Surveillance
Volume2
Issue number2
DOIs
StatePublished - Jul 2016
Externally publishedYes

ASJC Scopus Subject Areas

  • Health Informatics
  • Public Health, Environmental and Occupational Health

Keywords

  • Cannabis
  • EDrugTrends
  • Machine learning
  • Sentiment analysis
  • Social media
  • Synthetic cannabinoids
  • Twitter

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