Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis.
DEXA (2)(2023)
摘要
Aspect-based sentiment analysis aims to predict the polarity of sentiment towards a specific aspect in the context. In this paper, we propose the Temporal Semantic Attention Network (TSAN) model for ABSA tasks, which comprising a Global Semantic Feature Network for feature extraction and an Interact Dual Attention module to capture the dependencies of text-target interaction. Experiments on four ABSA benchmark datasets validates the effectiveness of our modules in extracting aspect-level sentiment features.
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关键词
attention network,sentiment analysis,aspect-based
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