11,987 Chinese-language food delivery reviews categorized into binary sentiment classes. The dataset contains a text column for user comments and a corresponding numeric label indicating positive or negative sentiment.
Use Cases
- Train a sentiment classifier using the 'review' text and 'label' integer columns
- Perform text mining on food delivery service quality by analyzing keywords in the 'review' column
- Fine-tune Chinese language models for domain-specific sentiment detection in e-commerce
Strengths
- 11,987 total rows of user-generated content
- Binary classification schema using 'label' values of 0 and 1
- Textual data consists of short-form Chinese 'review' strings