Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-analysis
Languages:
Italian
Size:
1K - 10K
License:
File size: 1,152 Bytes
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---
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}
}
``` |