Published on in Vol 5, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10432, first published .
Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content

Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content

Differences in Emotional and Pain-Related Language in Tweets About Dentists and Medical Doctors: Text Analysis of Twitter Content

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  2. Altan A. Emotional effect of the Covid-19 pandemic on oral surgery procedures: a social media analysis. Journal of Dental Anesthesia and Pain Medicine 2021;21(3):237 View
  3. Sivrikaya E, Yilmaz O, Sivrikaya P. Dentist–patient communication on dental anxiety using the social media: A randomized controlled trial. Scandinavian Journal of Psychology 2021;62(6):780 View
  4. Constantin F, Kavoura A. Digital Entrepreneurship via Sustainable Online Communication of Dentistry Profession, Oradea, Romania: A Longitudinal Analysis. Sustainability 2022;14(2):802 View
  5. Ahne A, Khetan V, Tannier X, Rizvi M, Czernichow T, Orchard F, Bour C, Fano A, Fagherazzi G. Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach. JMIR Medical Informatics 2022;10(7):e37201 View
  6. Su F, Wang Y, Wu Q, Wang P, Chang X. The Influence of Stereotypes on Trust in Doctors from Patients’ Perspective: The Mediating Role of Communication. Psychology Research and Behavior Management 2022;Volume 15:3663 View
  7. Jelodar H, Orji R, Matween S, Weerasinghe S, Oyebode O, Wang Y. Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques. Journal of Ambient Intelligence and Humanized Computing 2023;14(12):16985 View
  8. Emmert-Streib F. Trends in null hypothesis significance testing: Still going strong. Heliyon 2024;10(21):e40133 View