An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency

Yangyang Li; Yuelin Li; Shihuai Zhang; Guangyuan Liu; Yanqiao Chen; Ronghua Shang; Licheng Jiao

doi:10.1016/j.knosys.2024.111457

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An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency

Yangyang Li Yuelin Li Shihuai Zhang Guangyuan Liu Yanqiao Chen Ronghua Shang Licheng Jiao Ronghua Shang Licheng Jiao

Year: 2024 Journal: Knowledge-Based Systems Vol: 287 Pages: 111457-111457 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2024.111457

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Keywords:

Sarcasm Computer science Context (archaeology) Modalities Artificial intelligence Modality (human–computer interaction) Feature (linguistics) Mechanism (biology) Affective computing Representation (politics) Natural language processing Machine learning Irony Linguistics

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Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency

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