An empirical perspective on sarcasm detection in tweets using machine learning techniques
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0155036
Reference27 articles.
1. Yi Tay, Mondher Bouazizi and Tomoaki Otsuki (Ohtsuki), “A Pattern-Based Approach For Sarcasm Detection On Twitter” in August 24, 2016
2. Yi Tay†, Luu Anh Tuan, Siu Cheung Huiφ, JianSuδ, “Reasoning with Sarcasm by Reading In-between” arXiv:1805.02856v1 [cs. CL] 8 May 2018
3. Aditya Joshi, Pushpak Bhattacharyya, Mark J. Carman. 2018, “Sarcasm Detection Using Incongruity within Target Text”, In: Investigations in Computational Sarcasm”, Cognitive Systems Monographs, vol 37. Springer
4. T. Aditya Joshi, Pushpak Bhatta charyya,Mark J. Carman. 2018, “Sarcasm Detection Using Contextual Incongruity. In: Investigations in Computational Sarcasm”, Cognitive Systems Monographs, vol 37. Springer
5. Shubhadeep Mukherjee, Dr.Pradip Kumar Bala, “Sarcasm Detection in MicroblogsUsing Naïve Bayes and Fuzzy Clustering” In Proceedings of Technology in Society, 2017 pages 19–27
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