Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study

BACKGROUND: Eating disorders affect an increasing number of people. Social networks provide information that can help. OBJECTIVE: We aimed to find machine learning models capable of efficiently categorizing tweets about eating disorders domain. METHODS: We collected tweets related to eating disorder...

Descripción completa

Detalles Bibliográficos
Autores principales: Benítez-Andrades, José Alberto, Alija-Pérez, José-Manuel, Vidal, Maria-Esther, Pastor-Vargas, Rafael, García-Ordás, María Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914746/
https://www.ncbi.nlm.nih.gov/pubmed/35200156
http://dx.doi.org/10.2196/34492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914746/
https://www.ncbi.nlm.nih.gov/pubmed/35200156
http://dx.doi.org/10.2196/34492

Ejemplares similares