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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

8 February 2024
J. Benítez-Andrades
José-Manuel Alija-Pérez
Maria-Esther Vidal
R. Pastor-Vargas
María Teresa García-Ordás
ArXivPDFHTML

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

3 / 3 papers shown
Title
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify
  Pro-Eating Disorder Content on Social Media
A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media
J. Feldman
22
0
0
06 Jul 2023
Feature Engineering vs BERT on Twitter Data
Feature Engineering vs BERT on Twitter Data
Ryiaadh Gani
L. Chalaguine
14
4
0
28 Oct 2022
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
219
608
0
13 Oct 2020
1