Analysis of Approaches for Irony Detection in Tweets for Online Products

Author:

Maheswari S. UmaORCID,Dhenakaran S. S.

Publisher

Springer Nature Singapore

Reference27 articles.

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3. Riloff, E., Qadir, A., Surve, P., De Silva, L., Gilbert, N., Huang, R.: Sarcasm as contrast between a positive sentiment and negative situation. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 704–714 (2013)

4. Yunitasari, Y., Musdholifah, A., Sari, A.K.: Sarcasm detection for sentiment analysis in Indonesian tweets. IJCCS 13(1), 53–62 (2019)

5. Potamias, R.A., Siolas, G., Stafylopatis, A.G.: A transformer-based approach to irony and sarcasm detection. Neural Comput. Appl. 32(23), 17309–17320 (2020)

Cited by 2 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. Emotional Intelligence Attention Unsupervised Learning Using Lexicon Analysis for Irony-based Advertising;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-01-15

2. Ensemble-based domain adaptation on social media posts for irony detection;Multimedia Tools and Applications;2023-08-14

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