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

JMIR Public Health and Surveillance

Volumn 2, Issue 2, 2016, Pages

  Daniulaityte, Raminta ^a,b   Chen, Lu ^b   Lamy, Francois R ^a,b   Carlson, Robert G ^a,b   Thirunarayan, Krishnaprasad ^b   Sheth, Amit ^b  

^a WRIGHT STATE UNIVERSITY   (United States)

^b Wright State University   (United States)

Author keywords

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

Indexed keywords

EID: 85014891730     PISSN: None     EISSN: 23692960     Source Type: Journal    
DOI: 10.2196/publichealth.6327     Document Type: Article

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