Author:
Altrabsheh Nabeela,Cocea Mihaela,Fallahkhair Sanaz
Publisher
Springer International Publishing
Reference6 articles.
1. Lecture Notes in Computer Science;N Altrabsheh,2015
2. González-Ibánez, R., Muresan, S., Wacholder, N.: Identifying sarcasm in twitter: a closer look. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 581–586 (2011)
3. Justo, R., Corcoran, T., Lukin, S.M., Walker, M., Torres, M.I.: Extracting relevant knowledge for the detection of sarcasm and nastiness in the social web. Knowl.-Based Syst. 69, 124–133 (2014)
4. Shany-Ur, T., Poorzand, P., Grossman, S.N., Growdon, M.E., Jang, J.Y., Ketelle, R.S., Miller, B.L., Rankin, K.P.: Comprehension of insincere communication in neurodegenerative disease: lies, sarcasm, and theory of mind. Cortex 48(10), 1329–1341 (2012)
5. Tian, F., Gao, P., Li, L., Zhang, W., Liang, H., Qian, Y., Zhao, R.: Recognizing and regulating e-learners’ emotions based on interactive chinese texts in e-learning systems. Knowl.-Based Syst. 55, 148–164 (2014)
Cited by
11 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. Deep Contextualised Text Representation and Learning for Sarcasm Detection;Arabian Journal for Science and Engineering;2023-08-14
2. Improved Twitter Sarcasm Detection by Addressing Imbalanced Class Problem;Advances in Smart Communication Technology and Information Processing;2021
3. Sarcasm Detection Approaches Survey;Advances in Computer, Communication and Computational Sciences;2020-10-28
4. Sarcasm detection using machine learning algorithms in Twitter: A systematic review;International Journal of Market Research;2020-05-28
5. A Survey on Sarcasm detection and challenges;2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS);2020-03