Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks
IJCAI, pp. 4439-4445, 2018.
We propose a neural architecture, i.e., the Hierarchical Aspect-specific Attention Network, which leverages both word-level and clause-level attentions to incorporate the importance degrees of both words and clauses in a sentence
Aspect sentiment classification, a challenging task in sentiment analysis, has been attracting more and more attention in recent years. In this paper, we highlight the need for incorporating the importance degrees of both words and clauses inside a sentence and propose a hierarchical network with both word-level and clause-level attention...More
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