Exploring BERT and Bi-LSTM for Toxic Comment Classification: A Comparative Analysis-Reference-Cited by-同舟云学术

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Exploring BERT and Bi-LSTM for Toxic Comment Classification: A Comparative Analysis

Published:2024-05-17 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
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Author:

Tarun V G¹,Sivasakthivel Ramkumar¹,Ramar Gobinath¹,Rajagopal Manikandan²,Sivaraman G.³

Affiliation:

1. Christ (Deemed to be University),School of Sciences,Department of Computer Science,Bengaluru,Karnataka,India

2. Christ (Deemed to be University),School of Business and Management,Department of Lean Operations and Systems,Bengaluru,Karnataka,India

3. M.G.R. College Hosur,Department of Computer Science,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594466.pdf?arnumber=10594466

Reference20 articles.

1. An Enhanced Classification Model for Detecting Deceptive Content in Social Media using Natural Language Processing Techniques;Shenify;Int J Intell Syst Appl Eng,2024

2. Cyberbullying Detection: A Comparative Study of Classification Algorithms;Nuthalapati,2024

3. Define Your Terms;Nghiem;Enhancing Efficient Offensive Speech Classification with Definition. arXiv preprint,2024

4. BERT base model for toxic comment analysis on Indonesian social media

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