tanaos/synthetic-sentiment-analysis-dataset-v1
Tanaos Sentiment Analysis Training Dataset This dataset was created synthetically by Tanaos with the Artifex Python library. The dataset is designed to train and evaluate sentiment analysis systems — models that classify the sentiment expressed in text as one of five possible categories: very_negative, negative, neutral, positive or very_positive. It can be used to build sentiment analysis models for various applications, such as customer feedback analysis, social media… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-sentiment-analysis-dataset-v1
| Author / organization | tanaos |
|---|---|
| License (as declared) | mit |
| Downloads | 202 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 November 2025 |
| Last updated at source | 21 December 2025 |
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