README.md

---
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
---

# Aspect-Based Sentiment Analysis Dataset

This dataset contains aspect-based sentiment analysis data from SemEval 2014 Task 4 (Laptop domain). Each entry includes:

- Text: The original text with the aspect term inserted
- Aspect: The aspect being analyzed
- Sentiment: The sentiment score (-1 for negative, 0 for neutral, 1 for positive)

## Dataset Statistics

- Train set size: 6248
- Test set size: 692

## Usage

You can load this dataset using the Hugging Face datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("VocabVictor/acl2014_absa_twitter")
```

## Dataset Creation

This dataset is derived from the SemEval 2014 Task 4 competition, focusing on aspect-based sentiment analysis in the laptop domain. The original data has been processed to fit the format required for machine learning tasks.

## Considerations for Using the Data

This dataset is intended for research purposes in natural language processing and sentiment analysis. Users should be aware of potential biases in the original data collection process.

## Additional Information

For more information about the original dataset, please refer to the SemEval 2014 Task 4 description and guidelines.