Cargando…
Mapping gender transition sentiment patterns via social media data: toward decreasing transgender mental health disparities
OBJECTIVE: Transgender people face substantial mental health disparities, and this population’s emotional well-being can be particularly volatile during gender transition. Understanding gender transition sentiment patterns can positively impact transgender people by enabling them to anticipate, and...
Autor principal: | Haimson, Oliver L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696505/ https://www.ncbi.nlm.nih.gov/pubmed/31120498 http://dx.doi.org/10.1093/jamia/ocz056 |
Ejemplares similares
-
Coming Out to Doctors, Coming Out to “Everyone”: Understanding the Average Sequence of Transgender Identity Disclosures Using Social Media Data
por: Haimson, Oliver L., et al.
Publicado: (2020) -
Online health information seeking, health literacy, and human papillomavirus vaccination among transgender and gender-diverse people
por: Pho, Anthony T, et al.
Publicado: (2021) -
Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis
por: Vashishtha, Srishti, et al.
Publicado: (2021) -
Detecting Sentiment toward Emerging Infectious Diseases on Social Media: A Validity Evaluation of Dictionary-Based Sentiment Analysis
por: Lee, Sanguk, et al.
Publicado: (2022) -
Social Media Mining Toolkit (SMMT)
por: Tekumalla, Ramya, et al.
Publicado: (2020)