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A Data-Driven Multi-Granularity Attention Framework for Sentiment Recognition in News and User Reviews

Sentiment analysis plays a crucial role in domains such as financial news, user reviews, and public opinion monitoring, yet existing approaches face challenges when dealing with long and domain-specific texts due to semantic dilution, insufficient context modeling, and dispersed emotional signals. T...

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Principais autores: Wenjie Hong, Shaozu Ling, Siyuan Zhang, Yinke Huang, Yiyan Wang, Zhengyang Li, Xiangjun Dong, Yan Zhan
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Applied Sciences
Assuntos:
robust natural language understanding
data-driven artificial intelligence
news sentiment recognition
long-text sentiment modeling
cross-granularity contrastive fusion
Acesso em linha:https://www.mdpi.com/2076-3417/15/21/11424
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