Published on in Vol 3 , No 3 (2017) :Jul-Sept

Classification of Twitter Users Who Tweet About E-Cigarettes

Classification of Twitter Users Who Tweet About E-Cigarettes

Classification of Twitter Users Who Tweet About E-Cigarettes

Journals

  1. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  2. Murphy J, Hsieh Y, Wenger M, Kim A, Chew R. Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure. Information, Communication & Society 2019;22(5):622 View
  3. Staal Y, van de Nobelen S, Havermans A, Talhout R. New Tobacco and Tobacco-Related Products: Early Detection of Product Development, Marketing Strategies, and Consumer Interest. JMIR Public Health and Surveillance 2018;4(2):e55 View
  4. Albalawi Y, Nikolov N, Buckley J. Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis. Journal of Medical Internet Research 2019;21(10):e14731 View
  5. Tassone J, Yan P, Simpson M, Mendhe C, Mago V, Choudhury S. Utilizing deep learning and graph mining to identify drug use on Twitter data. BMC Medical Informatics and Decision Making 2020;20(S11) View
  6. Ho R, Withanage M, Khong K. Sentiment drivers of hotel customers: a hybrid approach using unstructured data from online reviews. Asia-Pacific Journal of Business Administration 2020;12(3/4):237 View
  7. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  8. Gao Y, Xie Z, Li D. Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data. JMIR Public Health and Surveillance 2021;7(1):e24859 View
  9. Robertson L, Joshi A, Legg T, Wellock G, Ray K, Evans-Reeves K. Exploring the Twitter activity around the eighth meeting of the Conference of the Parties to the WHO Framework Convention on Tobacco Control. Tobacco Control 2020:tobaccocontrol-2020-055889 View
  10. Cochran C, Robertson L, Hoek J. Online marketing activity following New Zealand’s vaping legislation. Tobacco Control 2021:tobaccocontrol-2021-056750 View
  11. Bardier C, Yang J, Li J, Mackey T. Characterizing alternative and emerging tobacco product transition of use behavior on Twitter. BMC Research Notes 2021;14(1) View

Books/Policy Documents

  1. Daouadi K, Zghal Rebaï R, Amous I. Machine Learning for Networking. View