BERT Pre-processed Deep Learning Model for Sarcasm Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s40009-022-01108-8.pdf
Reference19 articles.
1. Joshi A, Bhattacharyya P, Carman MJ (2017) Automatic sarcasm detection: a survey. ACM Comput Surv (CSUR) 50(5):1–22
2. Wicana SG, İbisoglu TY, Yavanoglu U (2017) A review on sarcasm detection from machine-learning perspective. In: 2017 IEEE 11th international conference on semantic computing (ICSC). IEEE, pp 469–476
3. Kumar A, Sangwan SR, Arora A, Nayyar A, Abdel-Basset M (2019) Sarcasm detection using soft attention-based bidirectional long short-term memory model with convolution network. IEEE Access 7:23319–23328
4. Gao Z, Feng A, Song X, Wu X (2019) Target-dependent sentiment classification with BERT. IEEE Access 7:154290–154299
5. Ren Y, Ji D, Ren H (2018) Context-augmented convolutional neural networks for twitter sarcasm detection. Neurocomputing 308:1–7
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