Papers with recognizing conflicting opinions

1 papers
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks (D19-1)

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Challenge: Existing models ignore conflict opinions because they are sparse in the datasets.
Approach: They propose a multi-label classification model with dual attention mechanism to address these problems by excluding conflict opinions from existing models.
Outcome: The proposed model addresses the problem of exclusion of conflict opinions from the datasets.

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