--- annotations_creators: - crowdsourced language: - sl language_creators: - found license: - cc-by-sa-4.0 multilinguality: - monolingual pretty_name: SentiNews size_categories: [] source_datasets: - original tags: - slovenian sentiment - news articles task_categories: - text-classification task_ids: - sentiment-classification --- # Dataset Card for SentiNews ## Dataset Description - **Homepage:** https://github.com/19Joey85/Sentiment-annotated-news-corpus-and-sentiment-lexicon-in-Slovene - **Paper:** Bučar, J., Žnidaršič, M. & Povh, J. Annotated news corpora and a lexicon for sentiment analysis in Slovene. Lang Resources & Evaluation 52, 895–919 (2018). https://doi.org/10.1007/s10579-018-9413-3 ### Dataset Summary SentiNews is a Slovenian sentiment classification dataset, consisting of news articles manually annotated with their sentiment by between two and six annotators. It is annotated at three granularities: - document-level (config `document_level`, 10 427 documents), - paragraph-level (config `paragraph_level`, 89 999 paragraphs), and - sentence-level (config `sentence_level`, 168 899 sentences). ### Supported Tasks and Leaderboards Sentiment classification, three classes (negative, neutral, positive). ### Languages Slovenian. ## Dataset Structure ### Data Instances A sample instance from the sentence-level config: ``` { 'nid': 2, 'content': 'Vilo Prešeren je na dražbi ministrstva za obrambo kupilo nepremičninsko podjetje Condor Real s sedežem v Lescah.', 'sentiment': 'neutral', 'pid': 1, 'sid': 1 } ``` ### Data Fields The data fields are similar among all three configs, with the only difference being the IDs. - `nid`: a uint16 containing a unique ID of the news article (document). - `content`: a string containing the body of the news article - `sentiment`: the sentiment of the instance - `pid`: a uint8 containing the consecutive number of the paragraph inside the current news article, **not unique** (present in the configs `paragraph_level` and `sentence_level`) - `sid`: a uint8 containing the consecutive number of the sentence inside the current paragraph, **not unique** (present in the config `sentence_level`) ## Additional Information ### Dataset Curators Jože Bučar, Martin Žnidaršič, Janez Povh. ### Licensing Information CC BY-SA 4.0 ### Citation Information ``` @article{buvcar2018annotated, title={Annotated news corpora and a lexicon for sentiment analysis in Slovene}, author={Bu{\v{c}}ar, Jo{\v{z}}e and {\v{Z}}nidar{\v{s}}i{\v{c}}, Martin and Povh, Janez}, journal={Language Resources and Evaluation}, volume={52}, number={3}, pages={895--919}, year={2018}, publisher={Springer} } ``` ### Contributions Thanks to [@matejklemen](https://github.com/matejklemen) for adding this dataset.