FEAM: a dynamic prompting framework for sentiment analysis with hierarchical convolutional attention

IntroductionThis paper proposes FEAM (Fused Emotion-aware Attention Model), a dynamic prompting framework for sentiment analysis. Unlike static or handcrafted templates, FEAM dynamically selects input-specific prompts, aiming to address the challenges of nuanced sentiment expressions, lexical ambigu...

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Autori principali:	Ziqian Lin, Dongze Wu, Xiangbeng Yang, Lingying Li, Zhenkai Qin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-10-01
Serie:	Frontiers in Physics
Soggetti:	dynamic prompting soft prompts sentiment classification prompt selection emotion-aware modeling domain generalization
Accesso online:	https://www.frontiersin.org/articles/10.3389/fphy.2025.1674949/full
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