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CroSentiNews 2.0: A Sentence-Level News Sentiment Corpus

Gaurish Thakkar
Nives Mikelic Preradović
Marko Tadić
ArXiv (abs)PDFHTML
Abstract

This article presents a sentence-level sentiment dataset for the Croatian news domain. In addition to the 3K annotated texts already present, our dataset contains 14.5K annotated sentence occurrences that have been tagged with 5 classes. We provide baseline scores in addition to the annotation process and inter-annotator agreement.

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