Toxic Comment Classification Implementing CNN Combining Word Embedding Technique
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4305-4_65
Reference28 articles.
1. Anand M, Eswari R (2019) Classification of abusive comments in social media using deep learning. In: 2019 3rd international conference on computing methodologies and communication (ICCMC), pp 974–977
2. Ibrahim M, Torki M, El-Makky N (2018) Imbalanced toxic comments classification using data augmentation and deep learning. In: 2018 17th IEEE international conference on machine learning and applications (ICMLA), pp 875–878
3. Van Hee C, Jacobs G, Emmery C, Desmet B, Lefever E, Verhoeven B et al (2018) Automatic detection of cyberbullying in social media text. PLoS ONE 13(10):e0203794
4. Georgakopoulos SV, Tasoulis SK, Vrahatis AG, Plagianakos VP (2018) Convolutional neural networks for toxic comment classification. In: Proceedings of the 10th hellenic conference on artificial intelligence, pp 1–6
5. Saeed HH, Shahzad K, Kamiran F (2018, November) Overlapping toxic sentiment classification using deep neural architectures. In: 2018 IEEE international conference on data mining workshops (ICDMW), pp 1361–1366
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