---
license: mit
task_categories:
- text-classification
language:
- twi
tags:
- sentiment
- african-languages
- nlp
- text-classification
- binary-classification
size_categories:
- 100K<n<1M
---

>This dataset is made available because of Ghana NLP's volunteer driven research work. Please consider contributing to any of our projects on [Github](https://github.com/GhanaNLP/)

# Twi Sentiment Corpus

## Dataset Description

This dataset contains sentiment-labeled text data in Twi for binary sentiment classification (Positive/Negative). Sentiments are extracted and processed from the English meanings of the sentences using DistilBERT for sentiment classification. The dataset is part of a larger collection of African language sentiment analysis resources.

## Dataset Statistics

- **Total samples**: 432,647
- **Positive sentiment**: 249237 (57.6%)
- **Negative sentiment**: 183410 (42.4%)

## Dataset Structure

### Data Fields

- **Text Column**: Contains the original text in Twi
- **sentiment**: Sentiment label (Positive or Negative only)

### Data Splits

This dataset contains a single split with all the processed data.

## Data Processing

The sentiment labels were generated using:
- Model: `distilbert-base-uncased-finetuned-sst-2-english`
- Processing: Batch processing with optimization for efficiency
- Deduplication: Duplicate entries were removed based on text content
- **Filtering**: Only Positive and Negative sentiments retained for binary classification

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("michsethowusu/twi-sentiments-corpus")

# Access the data
print(dataset['train'][0])

# Check sentiment distribution
from collections import Counter
sentiments = [item['sentiment'] for item in dataset['train']]
print(Counter(sentiments))
```

## Use Cases

This dataset is ideal for:
- Binary sentiment classification tasks
- Training sentiment analysis models for Twi
- Cross-lingual sentiment analysis research
- African language NLP model development

## Citation

If you use this dataset in your research, please cite:

```bibtex
@dataset{twi_sentiments_corpus,
  title={Twi Sentiment Corpus},
  author={Mich-Seth Owusu},
  year={2025},
  url={https://huggingface.co/datasets/michsethowusu/twi-sentiments-corpus}
}
```

## License

This dataset is released under the MIT License.

## Contact

For questions or issues regarding this dataset, please open an issue on the dataset repository.

## Dataset Creation

**Date**: 2025-07-02
**Processing Pipeline**: Automated sentiment analysis using HuggingFace Transformers
**Quality Control**: Deduplication, batch processing optimizations, and binary sentiment filtering applied