Sentiment Analysis on Yelp P. (test)
95.81AccuracySWEM-hier
Evaluation Results
| Method | Links | |
|---|---|---|
| SWEM-hier2018.05 | 95.81 | |
| Deep CNNlayers=292018.05 | 95.72 | |
| VDCNN2016.07 | 95.7 | |
| fastTexthidden units=10, bigram=true2016.07 | 95.7 | |
| fastText (bigram)features=bigram2018.05 | 95.7 | |
| ngrams2016.07 | 95.6 | |
| ngrams TFIDF2016.07 | 95.4 | |
| Large word CNN2018.05 | 95.11 | |
| LSTM2018.05 | 94.74 | |
| char-CNNdata augmentation=false2016.07 | 94.7 | |
| char-CRNN2016.07 | 94.5 | |
| Small word CNN2018.05 | 94.46 | |
| fastTexthidden units=10, bigram=false2016.07 | 93.8 | |
| fastText2018.05 | 93.8 | |
| SWEM-concat2018.05 | 93.76 | |
| SWEM-aver2018.05 | 93.59 | |
| SWEM-max2018.05 | 93.25 | |
| HYPERFORMER++_BASEnumber of samples=20002021.06 | 92.7 | |
| HYPERFORMER++_BASEnumber of samples=10002021.06 | 92.5 | |
| Adapters_BASEnumber of samples=20002021.06 | 92.36 | |
| Adapters_BASEnumber of samples=10002021.06 | 92.26 | |
| BoW2016.07 | 92.2 | |
| HYPERFORMER++_BASEnumber of samples=5002021.06 | 92.09 | |
| T5_BASEnumber of samples=20002021.06 | 91.68 | |
| Adapters_BASEnumber of samples=5002021.06 | 91.52 | |
| T5_BASEnumber of samples=10002021.06 | 91.32 | |
| HYPERFORMER++_BASEnumber of samples=322021.06 | 91.15 | |
| Adapters_BASEnumber of samples=322021.06 | 91.09 | |
| Adapters_BASEnumber of samples=162021.06 | 91.08 | |
| HYPERFORMER++_BASEnumber of samples=1002021.06 | 91.06 | |
| T5_BASEnumber of samples=5002021.06 | 90.92 | |
| HYPERFORMER++_BASEnumber of samples=162021.06 | 90.36 | |
| HYPERFORMER++_BASEnumber of samples=42021.06 | 90.25 | |
| T5_BASEnumber of samples=1002021.06 | 90.19 | |
| Adapters_BASEnumber of samples=1002021.06 | 90.15 | |
| T5_BASEnumber of samples=322021.06 | 89.22 | |
| T5_BASEnumber of samples=162021.06 | 87.84 | |
| Bag-of-means2018.05 | 87.33 | |
| Adapters_BASEnumber of samples=42021.06 | 81.37 | |
| T5_BASEnumber of samples=42021.06 | 76.85 |