Automatic Detection of Toxic South African Tweets Using Support Vector Machines with N-Gram Features
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8986464/9004289/09004298.pdf?arnumber=9004298
Cited by 5 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. Bi-LSTM Neural Network Approach to Detect and Recognize Cyberthreats, Cyberstalking and Extremist Tweets in Twitter;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04
2. A Survey on Identification of Hate Speech on Social Media Post;2022 3rd International Conference on Computing, Analytics and Networks (ICAN);2022-11-18
3. Machine Learning Identification of Self-reported COVID-19 Symptoms from Tweets in Canada;AI for Disease Surveillance and Pandemic Intelligence;2022
4. An Efficient Deep Learning-Based Hybrid Architecture for Hate Speech Detection in Social Media;Data Science and Security;2022
5. An Efficient Subjective Sentiment Classification of Hate Speech Using Tri-Model Approach;Revista Gestão Inovação e Tecnologias;2021-06-05
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