Papers by Steve Azzolin

1 papers
Multi-source Multi-domain Sentiment Analysis with BERT-based Models (2022.lrec-1)

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Challenge: Sentiment analysis is a widely studied task in natural language processing.
Approach: They propose to improve BERT-based models for sentiment analysis on italian corpora and evaluate their performance on the basis of eight corpors.
Outcome: The proposed model is evaluated over eight sentiment analysis corpora from different domains and sources on the prediction of positive, negative and neutral classes.

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