A Profound Method for Three-Tier Toxic Word Classification using LSTM-RNN
Author:
Affiliation:
1. Galgotias University,School of Computing Science and Engineering,Greater Noida,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149893/10149894/10150062.pdf?arnumber=10150062
Reference26 articles.
1. ModelDB: Proceedings of the workshop on human-in-the-loop data analytics. ACM Other conferences;mit,2016
2. The rise of Social Media, Our World in Data;ospina,2019
3. GL-LSTM Model For Multi-label Text Classification Of Cardiovascular Disease Reports
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1. Exploring BERT and Bi-LSTM for Toxic Comment Classification: A Comparative Analysis;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17
2. Toxic Comment Detection Using Bidirectional Sequence Classifiers;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04
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