No abstract

No abstract

We present SubjectivITA: the first Italian corpus for subjectivity detection on news articles, with annotations at sentence and document level. Our corpus consists of 103 articles extracted from online newspapers, amounting to 1,841 sentences. We also define baselines for sentence-and document-level subjectivity detection using transformerbased and statistical classifiers. Our results suggest that sentence-level subjectivity annotations may often be sufficient to classify the whole document.