metadata

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 for adding this dataset.