Naive Bayes

Reported on 5 benchmarks across 3 tasks · 2 papers · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Sentiment AnalysisonLatvian Twitter Eater Sentiment Dataset
Accuracy· uses extra data· 2020-07-10
61.23
SOTA
What Can We Learn From Almost a Decade of Food Tweets arXiv:2007.05194
Text ClassificationonLot-insts
Accuracy· 2023-02-19
72.2
best: 83.73 (Character-BERT+RS)
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset arXiv:2302.09509
Text ClassificationonLot-insts
Macro-F1· 2023-02-19
50.2
best: 65.9 (Character-BERT+RS)
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset arXiv:2302.09509

Methodology2 results

ClassificationonLot-insts
Accuracy· 2023-02-19
72.2
best: 83.73 (Character-BERT+RS)
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset arXiv:2302.09509
ClassificationonLot-insts
Macro-F1· 2023-02-19
50.2
best: 65.9 (Character-BERT+RS)
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset arXiv:2302.09509