Papers with fine-grained automatic analysis of sentiments expressed

1 papers
MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification (2023.acl-long)

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Challenge: Sentiment classification is a task that requires domain-specific datasets.
Approach: They propose a new dataset which includes aligned examples in eight languages . they show that machine translations can replace manual ones and that results match English .
Outcome: The proposed dataset compares the performance of the proposed model with existing datasets in eight languages and human and machine translations.

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