CroSentiNews 2.0: A Sentence-Level News Sentiment Corpus
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 35 references that are in the map. First posted on arXiv 14 May 2023.
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8 of 35 references.
References · 8
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Don't Stop Pretraining: Adapt Language Models to Domains and Taskscited by 1,548
- 2019SemEval-2017 Task 4: Sentiment Analysis in Twittercited by 209
- 2019Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentencecited by 121
- 2016Multilingual Twitter Sentiment Classification: The Role of Human Annotatorscited by 24
- 2013Sentiment Analysis in the Newscited by 20
- 2020FinEst BERT and CroSloEngual BERT: less is more in multilingual modelscited by 20
- 2022Multi-task Learning for Cross-Lingual Sentiment Analysiscited by 3
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