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

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

BackgroundEating disorders affect an increasing number of people. Social networks provide information that can help. ObjectiveWe aimed to find machine learning models capable of efficiently categorizing tweets about eating disorders domain. MethodsWe c...

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Bibliographic Details
Main Authors: José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor-Vargas, María Teresa García-Ordás
Format: Article
Language:English
Published: JMIR Publications 2022-02-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2022/2/e34492

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https://medinform.jmir.org/2022/2/e34492

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