README.md

metadata

language:
  - it
language_details: it-IT
license: cc-by-nc-sa-4.0
task_ids:
  - sentiment-analysis
task_categories:
  - text-classification
configs:
  - config_name: default
    data_files:
      - split: train
        path: train.jsonl
      - split: test
        path: test.jsonl
size_categories:
  - 1K<n<10K

SENTIPOLC 2016 dataset

The SENTIPOLC 2016 dataset contains 9410 tweets annotated for subjectivity, overall and literal polarity, and irony. The dataset has been created and used in the context of the SENTIPOLC 2016 task (http://www.di.unito.it/~tutreeb/sentipolc-evalita16/index.html), organized as part of the EVALITA 2016 evaluation campaign.

Original files available here: https://live.european-language-grid.eu/catalogue/corpus/7479/download/

If you find this dataset useful please cite:

@inproceedings{barbieri2016overview,
  title={Overview of the evalita 2016 sentiment polarity classification task},
  author={Barbieri, Francesco and Basile, Valerio and Croce, Danilo and Nissim, Malvina and Novielli, Nicole and Patti, Viviana and others},
  booktitle={CEUR Workshop Proceedings},
  volume={1749},
  year={2016},
  organization={CEUR-WS}
}