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A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare
2020
Italian Conference on Computational Linguistics
In this paper, we present our approach to the task of binary sentiment classification for Italian reviews in healthcare domain. We first collected a new dataset for such domain. Then, we compared the results obtained by two different systems, one including a Support Vector Machine and one with BERT. For the first one, we linguistic pre-processed the dataset to extract hand-crafted features exploited by the classifier. For the second one, we oversampled the dataset to achieve better results. Our
dblp:conf/clic-it/BaccoCPMD20
fatcat:24byb4shlnaxnbyy52j34j5qoq