Design and analysis of techniques for sarcasm detection using machine learning
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0154996
Reference11 articles.
1. Yi Tay, Mondher Bouazizi and Tomoaki Otsuki (Ohtsuki), “A Pattern-Based Approach For Sarcasm DetectionOn 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 withinTarget 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 FuzzyClustering” In Proceedings of Technology in Society, 2017 pages 19–27
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