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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Detalhes bibliográficos

Principais autores:	Ziqian Lin, Dongze Wu, Xiangbeng Yang, Lingying Li, Zhenkai Qin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-10-01
Colecção:	Frontiers in Physics
Assuntos:	dynamic prompting soft prompts sentiment classification prompt selection emotion-aware modeling domain generalization
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fphy.2025.1674949/full
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