Sentiment Analysis On User And Product
Metrics
IMDB (Acc)
Yelp 2013 (Acc)
Yelp 2014 (Acc)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | IMDB (Acc) | Yelp 2013 (Acc) | Yelp 2014 (Acc) |
|---|---|---|---|
| improving-review-representations-with-user | 55.0 | 68.3 | 68.6 |
| cascading-multiway-attentions-for-document | 54.0 | 66.4 | 67.6 |
| ma-bert-learning-representation-by | 57.3 | 70.3 | 71.4 |
| capturing-user-and-product-information-for | 46.5 | 63.9 | 61.3 |
| neural-sentiment-classification-with-user-and | 53.3 | 65.0 | 66.7 |
| rethinking-attribute-representation-and | 56.4 | 67.8 | 69.2 |
| learning-semantic-representations-of-users | 43.5 | 59.6 | 60.8 |
| cold-start-aware-user-and-product-attention | 54.2 | 65.7 | - |
| dual-memory-network-model-for-biased-product | 53.9 | 66.2 | 67.6 |
| categorical-metadata-representation-for | - | 67.1 | - |