Yelp Review Polarity
Introduced by Zhang et al. in Character-level Convolutional Networks for Text Classification
The Yelp Reviews Polarity dataset is obtained from the Yelp Dataset Challenge in 2015 (1,569,264 samples that have review text).
The polarity label is constructed by considering stars 1 and 2 negative, and 3 and 4 positive.
The polarity dataset has 280,000 training samples and 19,000 test samples in each polarity.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
yelp_polarity
|
bert-base-uncased-yelp_polarity
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
