Yelp Review Full is a text dataset for sentiment classification, containing user-generated business reviews. The dataset was prepared by SetFit and last updated on Hugging Face in January 2022.
Use Cases
- Train a model to predict review sentiment labels from review text.
- Analyze the relationship between review text length and assigned sentiment polarity.
- Fine-tune language models for business-specific review classification tasks.
- Conduct feature extraction from review text for downstream business analytics.
Strengths
- Dataset is hosted on a major platform (Hugging Face) with established versioning.
- Contains user-generated content from a real-world platform (Yelp), providing authentic text.
Limitations
- Specific row count, column details, and license information are unknown.
- Data is from 2022 or earlier, potentially missing recent trends and reviews.
Provenance
- Source
- Yelp user reviews, curated by SetFit.
- Collection Method
- User-generated content aggregated from the Yelp platform.
- Time Range
- null
- Freshness
- Last updated 2022-01-19.
- Geography
- Primarily US region, as indicated by platform tags.