Sentiment Analysis On Yelp Fine Grained

Metrics

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Results

Performance results of various models on this benchmark

		Paper Title
SVDCNN	46.80	Squeezed Very Deep Convolutional Neural Networks for Text Classification
Char-level CNN	37.95	Character-level Convolutional Networks for Text Classification
SWEM-hier	36.21	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
FastText	36.1	Bag of Tricks for Efficient Text Classification
LEAM	35.91	Joint Embedding of Words and Labels for Text Classification
DNC+CUW	34.40	Learning to Remember More with Less Memorization
CCCapsNet	34.15	Compositional Coding Capsule Network with K-Means Routing for Text Classification
BiLSTM generalized pooling	33.45	Enhancing Sentence Embedding with Generalized Pooling
CNN	32.39	Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
BERT large finetune UDA	32.08	Unsupervised Data Augmentation for Consistency Training
DRNN	30.85	Disconnected Recurrent Neural Networks for Text Categorization
DPCNN	30.58	Deep Pyramid Convolutional Neural Networks for Text Categorization
ULMFiT	29.98	Universal Language Model Fine-tuning for Text Classification
BERT_base+ITPT	29.42	How to Fine-Tune BERT for Text Classification?
BERT large	29.32	Unsupervised Data Augmentation for Consistency Training
BERT_large+ITPT	28.62	How to Fine-Tune BERT for Text Classification?
XLNet	27.05	XLNet: Generalized Autoregressive Pretraining for Language Understanding

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Sentiment Analysis On Yelp Fine Grained | SOTA | HyperAI