Offensive Language and Hate Speech Detection using BERT Model

Offensive Language and Hate Speech Detection using BERT Model

Hate speech detection is an important issue in sentiment analysis and natural language processing. This study aims to improve the effectiveness of hate speech detection in English text using the BERT model, along with modified preprocessing techniques to enhance the F1-score. The dataset, sourced fr...

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Bibliographic Details
Main Authors: Fadila Shely Amalia, Yohanes Suyanto
Format: Article
Language:English
Published: Universitas Gadjah Mada 2024-10-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjects:
hate speech
offensive
deep learning
bert
twitter
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/99841

Internet

https://jurnal.ugm.ac.id/ijccs/article/view/99841

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