---
license: mit
task_categories:
- text-classification
language:
- vi
pretty_name: Multi-Level Sentiment Analysis
size_categories:
- n<1K
---

## Multi-level sentiment analysis of Products Reviews
+ Size: 5971 reviews about products on e-commerce websites
+ Labels: 5 level of senitments as follows:
  
| Score | Sentiment     |
| ----: | ------------- |
|     1 | Very negative |
|     2 | Negative      |
|     3 | Neutral       |
|     4 | Positive      |
|     5 | Very positive |


+ Source code: https://github.com/sonlam1102/multi-level-sentiments

Publication: 
(Please cite this publication when you use this dataset)  
```
@inproceedings{fujita2021multi,
  title={Multi-Level Sentiment Analysis of Product Reviews Based on Grammar Rules},
  author={Hien D. Nguyen, Thanh Le, Khiem Tran, Son T. Luu, Suong N. Hoang, Hieu T. Phan},
  booktitle={New Trends in Intelligent Software Methodologies, Tools and Techniques: Proceedings of the 20th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT\_21)},
  volume={337},
  pages={444},
  year={2021},
  organization={IOS Press}
}
```