AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model

AGI-P: A Gender Identification Framework for Authorship Analysis Using Customized Fine-Tuning of Multilingual Language Model

In this investigation, we propose a solution for the author’s gender identification task called AGI-P. This task has several real-world applications across different fields, such as marketing and advertising, forensic linguistics, sociology, recommendation systems, language processing, hi...

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Bibliographic Details
Main Authors: Raheem Sarwar, Le An Ha, Pin Shen Teh, Fahad Sabah, Raheel Nawaz, Ibrahim A. Hameed, Muhammad Umair Hassan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Business analytics
gender identification
language models
tourism industry
Online Access:https://ieeexplore.ieee.org/document/10413460/

Internet

https://ieeexplore.ieee.org/document/10413460/

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