Hyperbolic Feature-based Sarcasm Detection in Tweets: A Machine Learning Approach
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8470058/8487231/08487712.pdf?arnumber=8487712
Cited by 14 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. Automatic Sarcasm Detection on Cross-Platform Social Media Datasets: A GLoVe and Bi-LSTM Based Approach ;JUCS - Journal of Universal Computer Science;2024-05-28
2. An Optimized Approach for Sarcasm Detection Using Machine Learning Classifier;Lecture Notes in Networks and Systems;2024
3. Sarcasm Detection Analysis – Comparative Analysis;2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2023-02-18
4. Twitter interaction between audiences and influencers. Sentiment, polarity, and communicative behaviour analysis methodology;El Profesional de la información;2022-11-30
5. Retracted: A Machine Learning Method for Detecting Sarcasm in Negative Sentiment Tweets using Hyperboles;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20
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