Reference75 articles.
1. Chaudhari P, Chandankhede C. Literature survey of sarcasm detection. 2017 international conference on wireless communications, signal processing and networking (WiSPNET), vol. 2018- Janua, IEEE; 2017, p. 2041–6. 10.1109/WiSPNET.2017.8300120.
2. Irony and sarcasm detection in twitter: the role of affective content;Farias;Turin,2017
3. Chia ZL, Ptaszynski M, Masui F, Leliwa G, Wroczynski M. Machine learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection. Inf Process Manag 2021;58. 10.1016/j.ipm.2021.102600.
4. Kabeer MsS. Cyberbullying detection system using machine learning. Int J Res Appl Sci Eng Technol 2021;9:2059–63. 10.22214/ijraset.2021.38264.
5. Leveraging offensive language for sarcasm and sentiment detection in {a}rabic;Husain,2021
Cited by
4 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