Open Access
| Issue |
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|
|
|---|---|---|
| Article Number | 03030 | |
| Number of page(s) | 7 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20214003030 | |
| Published online | 09 August 2021 | |
- Rajesh Basak, Shamik Sural, Niloy Ganguly, and Soumya K. Ghosh, “Online Public Shaming on Twitter: Detection, Analysis, and Mitigation.”, IEEE Transaction-2329-924X,2019. [Google Scholar]
- S. Poria, E. Cambria, D. Hazarika, and P. Vij, “A deeper look into sarcastic tweets using deep convolutional neural networks,” Creative Commons Attribution 4.0,arXiv preprint DOI:1610.08815, 2016. [Google Scholar]
- Sreelakshmi K Rafeeque P C, “An Effective Approach for Detection of Sarcasm in Tweets”, International CET Conference on Control, Communication, and Computing (IC4)DOI-978-1-5386-4966-4,2018. [Google Scholar]
- Mukul Anand, Dr.R.Eswari, “ Classification of Abusive Comments in Social Media using Deep Learning”, IEEE DOI-978-1-5386-7808-4,2019. [Google Scholar]
- Chikashi Nobata, Joel Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang, “Abusive Language Detection in Online User Content”, IW3C2, DOI-10.1145/2872427.2883062,2019. [Google Scholar]
- Soham Deshmukh, Rahul Rade, “Tackling Toxic Online Communication with Recurrent Capsule Networks”, IEEE-DOI:10.1109/INFOCOMTECH.2018.8722433 2018. [Google Scholar]
- Mai Ibrahim, Marwan Torki and Nagwa El-Makky, “Imbalanced Toxic Comments Classification using Data Augmentation and Deep Learning”, 2018. [Google Scholar]
- Sangita Holkar, S. D. Sawarkar, Shubhangi Vaikole, “Audio and Video Toxic Comments Detection and Classification”, International Journal of Engineering Research & Technology (IJERT), Vol. 9 Issue 12, IISSN: 2278–0181,2020. [Google Scholar]
- Mehdi Surani, Ramchandra Mangrulkar,” Online Public Shaming Approach using Deep Learning Techniques”, Journal of the University of Shanghai for Science and Technology ISSN: 1007-6735,2021. [Google Scholar]
- Manav Kohli, Emily Kuehler and John Palowitch. “Paying attention to toxic comments.” Stanford University,2018. [Google Scholar]
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