Detecting Sarcasm is Extremely Easy ;-)
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Association for Computational Linguistics
Cited by 10 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. Sarcasm detection in product reviews using textual entailment approach;Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval;2023-12-15
2. Jointly Learning Sentimental Clues and Context Incongruity for Sarcasm Detection;IEEE Access;2022
3. Polarity Classification of Sarcastic Sentence Patterns Based on N-Gram Technique for Twitter Dataset;Lecture Notes in Networks and Systems;2022
4. An Automated Deep Learning Model for Detecting Sarcastic Comments;2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC);2021-12-03
5. Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach;PLOS ONE;2021-06-10
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