Sentiment Analysis On Yelp Binary

Metrics

Error

Results

Performance results of various models on this benchmark

Model Name	Error	Paper Title	Repository
DRNN	2.73	Disconnected Recurrent Neural Networks for Text Categorization	-
CNN	2.9	Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings	-
BERT large	1.89	Unsupervised Data Augmentation for Consistency Training	-
BERT_large+ITPT	1.81	How to Fine-Tune BERT for Text Classification?	-
ULMFiT	2.16	Universal Language Model Fine-tuning for Text Classification	-
Char-level CNN	4.88	Character-level Convolutional Networks for Text Classification	-
LEAM	4.69	Joint Embedding of Words and Labels for Text Classification	-
fastText, h=10, bigram	4.3	Bag of Tricks for Efficient Text Classification	-
DNC+CUW	3.60	Learning to Remember More with Less Memorization	-
DPCNN	2.64	Deep Pyramid Convolutional Neural Networks for Text Categorization
SVDCNN	4.74	Squeezed Very Deep Convolutional Neural Networks for Text Classification	-
CCCapsNet	3.52	Compositional Coding Capsule Network with K-Means Routing for Text Classification	-
Block-sparse LSTM	3.27	GPU Kernels for Block-Sparse Weights	-
BERT_base+ITPT	1.92	How to Fine-Tune BERT for Text Classification?	-
SRNN	3.96	Sliced Recurrent Neural Networks	-
BERT large finetune UDA	2.05	Unsupervised Data Augmentation for Consistency Training	-
LHTR	1.86	Heavy-tailed Representations, Text Polarity Classification & Data Augmentation	-
SWEM-hier	4.19	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms	-
M-ACNN	3.89	Learning Context-Sensitive Convolutional Filters for Text Processing	-
XLNet	1.37	XLNet: Generalized Autoregressive Pretraining for Language Understanding	-

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