"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets. - Test2 - elhamkhani - TriplyDB

"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

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Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study Characterizing marijuana concentrate users: A web-based survey.Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data."You got to love rosin: Solventless dabs, pure, clean, natural medicine." Exploring Twitter data on emerging trends in Rosin Tech marijuana concentrates."Retweet to Pass the Blunt": Analyzing Geographic and Content Features of Cannabis-Related Tweeting Across the United States.Sentiment Analysis of Health Care Tweets: Review of the Methods Used.Mining social media data: How are research sponsors and researchers addressing the ethical challenges?

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"When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

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scientific article published on 24 October 2016

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JMIR public health and surveillance

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Amit Sheth

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Francois R Lamy

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Krishnaprasad Thirunarayan

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Lu Chen

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Raminta Daniulaityte

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P2860

Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet

PREDOSE: a semantic web platform for drug abuse epidemiology using social media

Sentiment strength detection in short informal text

Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak

"Time for dabs": Analyzing Twitter data on marijuana concentrates across the U.S.

Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data.

Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection

"Those edibles hit hard": Exploration of Twitter data on cannabis edibles in the U.S.

Twitter: a good place to detect health conditions.

Promoting innovation and excellence to face the rapid diffusion of novel psychoactive substances in the EU: the outcomes of the ReDNet project.

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