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A guard against ambiguous sentiment for multimodal aspect-level sentiment classification
DOI:10.1016/j.ipm.2025.104375.png)
Abstract
En 中文
• Introduces a novel method to selectively utilize image information based on sentiment ambiguity. • Proposes an ambiguity learning mechanism to assess sentiment uncertainty in text. • Exhibits superior performance compared to existing approaches on MALSC benchmarks. • Adapts the method to LLMs by designing an ambiguity-aware prompting strategy. • Conducts extensive experiments to analyze the method’s effectiveness.
Journal
I
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6.9
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5.2K
Citations:
1.4W

