Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30257, first published .
Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis

Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis

Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis

Journals

  1. Satti F, Hussain M, Ali S, Saleem M, Ali H, Chung T, Lee S. A semantic sequence similarity based approach for extracting medical entities from clinical conversations. Information Processing & Management 2023;60(2):103213 View
  2. Ma S, Jiang S, Ling M, Lu B, Chen J, Shang C. Excise taxes and pricing activities of e-liquid products sold in online vape shops. Tobacco Control 2024;33(1):7 View
  3. Tang Q, Zhou R, Xie Z, Li D. Monitoring and Identifying Emerging e-Cigarette Brands and Flavors on Twitter: Observational Study. JMIR Formative Research 2022;6(12):e42241 View