Twitter-based gender recognition using transformers

Twitter-based gender recognition using transformers

Social media contains useful information about people and society that could help advance research in many different areas of health (e.g. by applying opinion mining, emotion/sentiment analysis and statistical analysis) such as mental health, health surveillance, socio-economic inequality and gender...

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Bibliographic Details
Main Authors: Zahra Movahedi Nia, Ali Ahmadi, Bruce Mellado, Jianhong Wu, James Orbinski, Ali Asgary, Jude D. Kong
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
bert
electra
gender recognition
levit
roberta
social media
swin transformer
transformers
vit
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023711?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023711?viewType=HTML

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