task_categories:text-classification language:ka license:mit size_categories:1K<n<10K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: mit
task_categories:
- text-classification
language:
- ka
pretty_name: Georgian Sentiment Analysis Dataset
size_categories:
- 1K<n<10K
---
# Sentiment Analysis for Georgian 🇬🇪

## 📄 Dataset Overview
The **Sentiment Analysis for Georgian** dataset was created by the **European Commission, Joint Research Centre (JRC)**. It is designed for training and evaluating sentiment analysis models in the **Georgian language**.

- **Authors**: Nicolas Stefanovitch, Jakub Piskorski, Sopho Kharazi  
- **Publisher**: European Commission, Joint Research Centre (JRC)  
- **Year**: 2023  
- **Dataset Type**: Sentiment Analysis  
- **License**: [Check official source](http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf)  

## 🔗 Dataset Link
You can access the dataset here:  
[![Dataset Link](https://img.shields.io/badge/Dataset-Link-blue)](http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf)

## 📊 Dataset Description
This dataset contains labeled Georgian-language text data for sentiment analysis. This dataset is the first ever publicly available annotated dataset for sentiment classification and semantic polarity dictionary for Georgian. We consider both three- **(positive, neutral, negative)** and four-tier **(positive, neutral, negative, mixed)** classifications. It is useful for **natural language processing (NLP)** tasks such as:  
✅ Sentiment classification  
✅ Opinion mining  
✅ Language modeling  

## 🚀 Usage Example
To use this dataset in Python, you can load it with `datasets` from Hugging Face:

```python
from datasets import load_dataset

dataset = load_dataset("Arseniy-Sandalov/Georgian-Sentiment-Analysis")
print(dataset)
```

## 📜 Citation
If you use this dataset in your research or project, please cite it using the following BibTeX:
```
@misc{Stefanovitch2023Sentiment,
  author = {Stefanovitch, Nicolas and Piskorski, Jakub and Kharazi, Sopho},
  title = {Sentiment analysis for Georgian},
  year = {2023},
  publisher = {European Commission, Joint Research Centre (JRC)},
  howpublished = {\url{http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf}},
  url = {http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf},
  type = {dataset},
  note = {PID: http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf}
}
```
