paper-with-me

Sentiment Analysis 벤치마크

Sentiment Analysis on Yelp Binary classification

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1.37 2.248 3.125 4.002 4.88 2015-09 2026-11 Char-level CNN — 4.88 (2015-09-04) CNN — 2.9 (2016-02-07) fastText, h=10, bigram — 4.3 (2016-07-06) DPCNN — 2.64 (2017-07-01) M-ACNN — 3.89 (2017-09-25) Block-sparse LSTM — 3.27 (2017-12-01) ULMFiT — 2.16 (2018-01-18) LEAM — 4.69 (2018-05-10) SWEM-hier — 4.19 (2018-05-24) DRNN — 2.73 (2018-07-01) SRNN — 3.96 (2018-07-06) CCCapsNet — 3.52 (2018-10-22) DNC+CUW — 3.6 (2019-01-05) SVDCNN — 4.74 (2019-01-28) BERT large — 1.89 (2019-04-29) BERT large finetune UDA — 2.05 (2019-04-29) BERT_large+ITPT — 1.81 (2019-05-14) BERT_base+ITPT — 1.92 (2019-05-14) XLNet — 1.37 (2019-06-19) LHTR — 1.86 (2020-03-25) Char-level CNN — 4.88 (2015-09-04) CNN — 2.9 (2016-02-07) DPCNN — 2.64 (2017-07-01) ULMFiT — 2.16 (2018-01-18) BERT large — 1.89 (2019-04-29) BERT_large+ITPT — 1.81 (2019-05-14) XLNet — 1.37 (2019-06-19)
RankModel Error PaperCodeYear
1 XLNet 1.37 XLNet: Generalized Autoregressive Pretraining for Language Understanding huggingface/transformers · PaddlePaddle/PaddleNLP · zihangdai/xlnet · +24 2019
2 BERT_large+ITPT 1.81 How to Fine-Tune BERT for Text Classification? xuyige/BERT4doc-Classification · ongunuzaymacar/comparatively-finetuning-bert · uzaymacar/comparatively-finetuning-bert · +12 2019
3 LHTR 1.86 Heavy-tailed Representations, Text Polarity Classification & Data Augmentation 2020
4 BERT large 1.89 Unsupervised Data Augmentation for Consistency Training google-research/uda · SanghunYun/UDA_pytorch · ildoonet/unsupervised-data-augmentation · +17 2019
5 BERT_base+ITPT 1.92 How to Fine-Tune BERT for Text Classification? xuyige/BERT4doc-Classification · ongunuzaymacar/comparatively-finetuning-bert · uzaymacar/comparatively-finetuning-bert · +12 2019
6 BERT large finetune UDA 2.05 Unsupervised Data Augmentation for Consistency Training google-research/uda · SanghunYun/UDA_pytorch · ildoonet/unsupervised-data-augmentation · +17 2019
7 ULMFiT 2.16 Universal Language Model Fine-tuning for Text Classification fastai/fastai · mrdbourke/tensorflow-deep-learning · Socialbird-AILab/BERT-Classification-Tutorial · +63 2018
8 DPCNN 2.64 Deep Pyramid Convolutional Neural Networks for Text Categorization Cheneng/DPCNN 2017
9 DRNN 2.73 Disconnected Recurrent Neural Networks for Text Categorization 2018
10 CNN 2.9 Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings 2016
11 Block-sparse LSTM 3.27 GPU Kernels for Block-Sparse Weights openai/blocksparse 2017
12 CCCapsNet 3.52 Compositional Coding Capsule Network with K-Means Routing for Text Classification leftthomas/CCCapsNet 2018
13 DNC+CUW 3.60 Learning to Remember More with Less Memorization thaihungle/UW-DNC 2019
14 M-ACNN 3.89 Learning Context-Sensitive Convolutional Filters for Text Processing 2017
15 SRNN 3.96 Sliced Recurrent Neural Networks zepingyu0512/srnn · MingyuLi19910814/Sliced-Recurrent-Neural-Network-Tensorflow2 · archanasgujar/DashBoard 2018
16 SWEM-hier 4.19 Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms dinghanshen/SWEM · nyk510/scdv-python 2018
17 fastText, h=10, bigram 4.3 Bag of Tricks for Efficient Text Classification facebookresearch/fastText · graykode/nlp-tutorial · brightmart/text_classification · +62 2016
18 LEAM 4.69 Joint Embedding of Words and Labels for Text Classification guoyinwang/LEAM · ShuanDeMorian/Project_AT_News_Classification 2018
19 SVDCNN 4.74 Squeezed Very Deep Convolutional Neural Networks for Text Classification lazarotm/SVDCNN 2019
20 Char-level CNN 4.88 Character-level Convolutional Networks for Text Classification makcedward/nlpaug · gaussic/text-classification-cnn-rnn · zhangxiangxiao/Crepe · +27 2015
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