Clues for detecting irony in user-generated contents

Author:

Carvalho Paula,Sarmento Luís,Silva Mário J.,de Oliveira Eugénio

Publisher

ACM Press

Cited by 114 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. A hybrid convolutional neural network for sarcasm detection from multilingual social media posts;Multimedia Tools and Applications;2024-06-25

2. Sarcasm Prediction Using Different Learning Approaches on User Behavior and Contextual Evaluation;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23

3. “Irony is easy to understand ”: The role of emoji in irony detection;Intercultural Pragmatics;2023-11-01

4. Computing the Sound–Sense Harmony: A Case Study of William Shakespeare’s Sonnets and Francis Webb’s Most Popular Poems;Information;2023-10-20

5. Multimodal Irony for Virtual Characters;Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents;2023-09-19

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