This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) New Methods (944) Natural Language Processing (692) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 17, No 8 (2015): August

Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning

Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning

Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning

Authors of this article:

Heather Cole-Lewis1 Author Orcid Image ;   Arun Varghese1 Author Orcid Image ;   Amy Sanders1 Author Orcid Image ;   Mary Schwarz1 Author Orcid Image ;   Jillian Pugatch1 Author Orcid Image ;   Erik Augustson2 Author Orcid Image
Article Authors Cited by (52) Tweetations (47) Metrics

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