README.md

---
language:
- es
license: cc-by-nc-sa-4.0
---
# COAR

## Description
The COAR (Corpus of Restaurant Opinions) dataset is designed for research in the field of document-level polarity classification and is focused on the hospitality domain (tourism-hospitality). The corpus consists of 2202 opinions extracted from TripAdvisor, which are categorized on a scale of five levels of opinion intensity (1 (negative) - 5 (positive)). The number of opinions per class is as follows:

| Rating |  1  |  2  |  3  |  4  |  5  | Total |
| ---        |:---:|:---:|:---:|:---:|:---:|:---:  |
| #Opinions | 565 | 246 | 188 | 333 | 870 | 2202  |

## Citation
If you use the corpus in your research, please cite: [Cross-Domain Sentiment Analysis Using Spanish Opinionated Words](https://link.springer.com/chapter/10.1007/978-3-319-07983-7_28).

```
@inproceedings{molina2014cross,
  title={Cross-domain sentiment analysis using Spanish opinionated words},
  author={Molina-Gonz{\'a}lez, M Dolores and Mart{\'\i}nez-C{\'a}mara, Eugenio and Mart{\'\i}n-Valdivia, M Teresa and Urena-L{\'o}pez, L Alfonso},
  booktitle={Natural Language Processing and Information Systems: 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, Montpellier, France, June 18-20, 2014. Proceedings 19},
  pages={214--219},
  year={2014},
  organization={Springer}
}
```

# COAR

## Descripción
Corpus de opiniones de restaurantes destinado a la investigación en el ámbito de la clasificación de la polaridad a nivel de documento, y se circunscribe en el dominio de alojamiento hostelero (turismo-hostelera). El corpus está formado por 2202 opiniones extraídas de TripAdvisor, las cuales están catalogadas en una escala de cinco niveles de intensidad de opinión (1 (negativo) - 5 (positivo)). El número de opiniones por clase es:

| Puntuación |  1  |  2  |  3  |  4  |  5  | Total |
| ---        |:---:|:---:|:---:|:---:|:---:|:---:  |
| #Opiniones | 565 | 246 | 188 | 333 | 870 | 2202  |

# Cita
Si utiliza el corpus en su investigación, por favor cite: [Cross-Domain Sentiment Analysis Using Spanish Opinionated Words](https://link.springer.com/chapter/10.1007/978-3-319-07983-7_28).

```
@inproceedings{molina2014cross,
  title={Cross-domain sentiment analysis using Spanish opinionated words},
  author={Molina-Gonz{\'a}lez, M Dolores and Mart{\'\i}nez-C{\'a}mara, Eugenio and Mart{\'\i}n-Valdivia, M Teresa and Urena-L{\'o}pez, L Alfonso},
  booktitle={Natural Language Processing and Information Systems: 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, Montpellier, France, June 18-20, 2014. Proceedings 19},
  pages={214--219},
  year={2014},
  organization={Springer}
}
```