Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27307, first published .
Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Journals

  1. Hallinan C, Khademi Habibabadi S, Conway M, Bonomo Y, Grundy Q. Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. PLOS ONE 2023;18(1):e0269143 View
  2. Sivori T, Capron M, Graves D, Harris J, Schaaf R. Caregivers' views on cannabis use for their children with autism. Research in Autism Spectrum Disorders 2023;102:102130 View
  3. Yu J, Egger R. Looking behind the scenes at dark tourism: a comparison between academic publications and user-generated-content using natural language processing. Journal of Heritage Tourism 2022;17(5):548 View
  4. Wu D, Kasson E, Singh A, Ren Y, Kaiser N, Huang M, Cavazos-Rehg P. Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study. Journal of Medical Internet Research 2022;24(12):e39460 View
  5. Khademi S, Hallinan C, Conway M, Bonomo Y. Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review. Journal of Medical Internet Research 2023;25:e36667 View
  6. Khademi Habibabadi S, Hallinan C, Bonomo Y, Conway M. Consumer-Generated Discourse on Cannabis as a Medicine: Scoping Review of Techniques. Journal of Medical Internet Research 2022;24(11):e35974 View
  7. Turner J, Kantardzic M, Vickers-Smith R, Brown A. Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification. JMIR Infodemiology 2023;3:e38390 View
  8. Cho L, Tang J, Pitaro N, Bai H, Cooke P, Arvind V, Kim J, Ting W. Sentiment Analysis of Online Patient-Written Reviews of Vascular Surgeons. Annals of Vascular Surgery 2023;88:249 View
  9. Serrano-Guerrero J, Bani-Doumi M, Chiclana F, Romero F, Olivas J. How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining. Informatics for Health and Social Care 2024;49(1):14 View
  10. Zakrzewski D, Podlejska P, Kubziakowska W, Dzwilewski K, Waszak P, Zawadzka M, Mazurkiewicz-Bełdzińska M. Evaluating the Credibility and Reliability of Online Information on Cannabidiol (CBD) for Epilepsy Treatment in Poland. Healthcare 2024;12(8):830 View