Results 271 to 280 of about 18,525 (328)

Learning Multitask Commonness and Uniqueness for Multimodal Sarcasm Detection and Sentiment Analysis in Conversation

IEEE Transactions on Artificial Intelligence
Sarcasm is a form of figurative language device to express human inner feelings, where the author writes the positive sentence on surface form, while he/she actually expresses negative sentiment, vice versa.
Yazhou Zhang, Yang Yu, Dongming Zhao, Zu-He Li, Bo Wang, Yue-Xian Hou, P. Tiwari, Jin Qin   +7 more
semanticscholar   +1 more source

A Comparative Review of Deep Learning Techniques on the Classification of Irony and Sarcasm in Text

IEEE Transactions on Artificial Intelligence
This article provides a review of classification methods for irony and sarcasm in textual data. It explores different approaches to detecting irony and sarcasm, their definitions, distinguishing features, and detection methodologies. The study examines a
Leonidas Boutsikaris, S. Polykalas
semanticscholar   +1 more source

DeepMSD: Advancing Multimodal Sarcasm Detection Through Knowledge-Augmented Graph Reasoning

IEEE transactions on circuits and systems for video technology (Print)
Multimodal sarcasm detection (MSD) requires predicting the sarcastic sentiment by understanding diverse modalities of data (e.g., text, image). Beyond the surface-level information conveyed in the post data, understanding the underlying deep-level ...
Yiwei Wei, Hengyang Zhou, Shao-Zu Yuan, Meng Chen, Hai-Tao Shi, Zhiyang Jia, Longbiao Wang, Xiaodong He   +7 more
semanticscholar   +1 more source

Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

AAAI Conference on Artificial Intelligence
Elaborating a series of intermediate reasoning steps significantly improves the ability of large language models (LLMs) to solve complex problems, as such steps would evoke LLMs to think sequentially.
Ben Yao, Yazhou Zhang, Qiu-Chi Li, Jing Qin   +3 more
semanticscholar   +1 more source

Supposititious Sarcasm Detection and Sentiment Analysis Coping Hindi Language in Social Networks Harnessing Zipf- Mandelbrot Probabilistic Optimisation and Perplexity Entropy Learning

ACM Trans. Asian Low Resour. Lang. Inf. Process.
Sarcasm is used to convey contempt via poking and ridiculing the other person. It is frequently used to make fun of other people by saying unpleasant things.
H. Pokhriyal, Goonjan Jain
semanticscholar   +1 more source

LDGNet: LLMs Debate-Guided Network for Multimodal Sarcasm Detection

IEEE International Conference on Acoustics, Speech, and Signal Processing
Multimodal sarcasm detection aims to uncover the sarcasm emotions expressed through various modalities such as text and image. Previous work has made enlightening exploration in detecting sarcastic sentiments with given domains.
Hengyang Zhou, Jin-Wu Yan, Yaqin Chen, Rongman Hong, Wenbo Zuo, Keyan Jin   +5 more
semanticscholar   +1 more source

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection

COLING Workshops
Sarcasm detection is a significant challenge in sentiment analysis due to the nuanced and context-dependent nature of verbiage. We introduce Pragmatic Metacognitive Prompting (PMP) to improve the performance of Large Language Models (LLMs) in sarcasm ...
Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu   +5 more
semanticscholar   +1 more source

Irony and Sarcasm

2020
A biography of two troublesome words. Isn't it ironic? Or is it? Never mind, I'm just being sarcastic (or am I?). Irony and sarcasm are two of the most misused, misapplied, and misunderstood words in our conversational lexicon. In this volume in the MIT Press Essential Knowledge series, psycholinguist Roger Kreuz offers an enlightening ...
openaire   +1 more source

Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation

North American Chapter of the Association for Computational Linguistics
Sarcasm is a linguistic phenomenon that intends to ridicule a target (e.g., entity, event, or person) in an inherent way. Multimodal Sarcasm Explanation (MuSE) aims at revealing the intended irony in a sarcastic post using a natural language explanation.
P. Goel, Dushyant Singh Chauhan, Md. Shad Akhtar   +2 more
semanticscholar   +1 more source

S3 Agent: Unlocking the Power of VLLM for Zero-Shot Multi-Modal Sarcasm Detection

ACM Trans. Multim. Comput. Commun. Appl.
Multi-modal sarcasm detection involves determining whether a given multi-modal input conveys sarcastic intent by analyzing the underlying sentiment. Recently, vision large language models have shown remarkable success on various of multi-modal tasks ...
Peng Wang, Yongheng Zhang, Hao Fei, Qiguang Chen, Yu-Kai Wang, Jia-Sheng Si, Wen-Peng Lu, Min Li, Li-Bo Qin   +8 more
semanticscholar   +1 more source