Composed of Thai-language restaurant reviews and ratings categorized into 5 distinct classes ranging from 1 to 5 stars. Originating from a Kaggle challenge, it provides text data in the review_body field paired with corresponding integer values in the star_rating column.
Use Cases
- Train a multi-class sentiment classifier to predict the star_rating based on the text in review_body
- Perform Thai natural language processing tasks such as tokenization or part-of-speech tagging on the review_body content
- Develop a recommendation engine feature by analyzing linguistic patterns associated with high or low star_rating values
Strengths
- Includes 5 distinct rating classes ranging from 1 to 5 stars
- Features a review_body column containing natural language text primarily in Thai
- Provides a star_rating column with integer values for supervised learning tasks
- Derived from the Wongnai Challenge on Kaggle for review rating prediction