Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K - 10K
License:
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. | |