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

51 citations · 51 across the 1 of their papers we have counts for

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cs.CL2024★ 51 cited

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

José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal +2

Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for c…