Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata-Reference-Cited by-同舟云学术

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Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Joint Conference on Neural Networks (IJCNN)
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Author:

De Souza Gabriel Araujo,Da Costa-Abreu Marjory

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207652.pdf?arnumber=9207652

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EFFECTIVE OFFENSIVE LANGUAGE DEDUCTION USING DEEP LEARNING IN SOCIAL MEDIA;REV ROUM SCI TECH-EL;2024

2. Offensive Language Detection in Under-Resourced Algerian Dialectal Arabic Language;Lecture Notes in Electrical Engineering;2023-11-30

3. ChatGuard: A Profanity Classification Approach for Safer Online Conversations;2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI);2023-11-27

4. Harmful Communication: Detection of Toxic Language and Threats on Swedish;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06

5. Detecting offensive language using Chaotic Ant Lion optimization-based Ghost net in social media;Journal of Intelligent & Fuzzy Systems;2023-11-04

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