Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Vietnamese
Size:
1K - 10K
License:
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}
}
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