CLMay 14, 2023
CroSentiNews 2.0: A Sentence-Level News Sentiment Corpus
arXiv:2305.08187v1
Originality Synthesis-oriented
AI Analysis
This work addresses a data gap for sentiment analysis in the Croatian news domain, but it is incremental as it builds on an existing dataset.
The authors tackled the lack of a sentence-level sentiment dataset for Croatian news by creating CroSentiNews 2.0, which includes 14.5K annotated sentences tagged with 5 classes, providing baseline scores and inter-annotator agreement details.
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.