Sentiment Analysis on IMDb

52개 결과 · ⬇ CSV · JSON

Accuracy

Rank	Model	Accuracy	Extra Training Data	Paper	Code	Year
1	Enhancing Sentiment Classification with 자동 추출	97.072		Enhancing Sentiment Classification with Machine Learning and Combinatorial Fusion		2025
2	RoBERTa-large with LlamBERT	96.68		LlamBERT: Large-scale low-cost data annotation in NLP	aielte-research/llambert	2024
3	RoBERTa-large	96.54		LlamBERT: Large-scale low-cost data annotation in NLP	aielte-research/llambert	2024
4	XLNet	96.21	✓	XLNet: Generalized Autoregressive Pretraining for Language Understanding	huggingface/transformers · PaddlePaddle/PaddleNLP · zihangdai/xlnet · +24	2019
5	Heinsen Routing + RoBERTa Large	96.2		An Algorithm for Routing Vectors in Sequences	glassroom/heinsen_routing	2022
6	RoBERTa-large 355M + Entailment as Few-shot Learner	96.1		Entailment as Few-Shot Learner	PaddlePaddle/PaddleNLP · sunyilgdx/prompts4keras · cactilab/hateguard	2021
7	GraphStar	96.0		Graph Star Net for Generalized Multi-Task Learning	graph-star-team/graph_star	2019
8	DV-ngrams-cosine with NB sub-sampling + RoBERTa.base	95.94		The Document Vectors Using Cosine Similarity Revisited	bgzh/dv_cosine_revisited	2022
9	DV-ngrams-cosine + RoBERTa.base	95.92		The Document Vectors Using Cosine Similarity Revisited	bgzh/dv_cosine_revisited	2022
10	Roberta_Large ST + Cosine Similarity Loss	95.9
11	BERT large finetune UDA	95.8	✓	Unsupervised Data Augmentation for Consistency Training	google-research/uda · SanghunYun/UDA_pytorch · ildoonet/unsupervised-data-augmentation · +17	2019
12	BERT_large+ITPT	95.79		How to Fine-Tune BERT for Text Classification?	xuyige/BERT4doc-Classification · ongunuzaymacar/comparatively-finetuning-bert · uzaymacar/comparatively-finetuning-bert · +12	2019
12	RoBERTa.base	95.79	✓	The Document Vectors Using Cosine Similarity Revisited	bgzh/dv_cosine_revisited	2022
14	L MIXED	95.68		Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function	DevSinghSachan/ssl_text_classification	2020
15	BERT_base+ITPT	95.63		How to Fine-Tune BERT for Text Classification?	xuyige/BERT4doc-Classification · ongunuzaymacar/comparatively-finetuning-bert · uzaymacar/comparatively-finetuning-bert · +12	2019
16	BERT large	95.49		Unsupervised Data Augmentation for Consistency Training	google-research/uda · SanghunYun/UDA_pytorch · ildoonet/unsupervised-data-augmentation · +17	2019
17	ULMFiT	95.4		Universal Language Model Fine-tuning for Text Classification	fastai/fastai · mrdbourke/tensorflow-deep-learning · Socialbird-AILab/BERT-Classification-Tutorial · +63	2018
18	Llama-2-70b-chat (0-shot)	95.39	✓	LlamBERT: Large-scale low-cost data annotation in NLP	aielte-research/llambert	2024
19	FLAN 137B (few-shot, k=2)	95	✓	Finetuned Language Models Are Zero-Shot Learners	hiyouga/llama-efficient-tuning · bigcode-project/starcoder · bigscience-workshop/promptsource · +5	2021
20	Block-sparse LSTM	94.99		GPU Kernels for Block-Sparse Weights	openai/blocksparse	2017
21	Space-XLNet	94.88		Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs	stepantita/space-model	2024
22	CEN-tpc	94.52		Contextual Explanation Networks	alshedivat/cen	2017
23	FLAN 137B (zero-shot)	94.3	✓	Finetuned Language Models Are Zero-Shot Learners	hiyouga/llama-efficient-tuning · bigcode-project/starcoder · bigscience-workshop/promptsource · +5	2021
24	oh-LSTM	94.1	✓	Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings		2016
24	Virtual adversarial training	94.1		Adversarial Training Methods for Semi-Supervised Text Classification	tensorflow/models · tensorflow/models · TobiasLee/Text-Classification · +1	2016
26	DV-ngrams-cosine + NB-weighted BON (re-evaluated)	93.68		The Document Vectors Using Cosine Similarity Revisited	bgzh/dv_cosine_revisited	2022
27	Nyströmformer	93.2		Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention	facebookresearch/xformers · mlpen/Nystromformer · lucidrains/nystrom-attention · +7	2021
27	Modified LMU (34M)	93.20		Parallelizing Legendre Memory Unit Training	hrshtv/pytorch-lmu · elisejiuqizhang/jax-lmu	2021
29	DV-ngrams-cosine	93.13		Sentiment Classification Using Document Embeddings Trained with Cosine Similarity	tanthongtan/dv-cosine · bgzh/dv_cosine_revisited	2019
30	OCaTS (kNN & GPT-3.5-turbo	93.06		Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models	stoyian/OCaTS	2023
31	DistilBERT 66M	92.82		DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	huggingface/transformers · PaddlePaddle/PaddleNLP · huggingface/swift-coreml-transformers · +34	2019
32	GPT-2 Finetuned	92.36		Language Models are Unsupervised Multitask Learners	huggingface/transformers · openai/gpt-2 · PaddlePaddle/PaddleNLP · +18	2019
33	seq2-bown-CNN	92.33		Effective Use of Word Order for Text Categorization with Convolutional Neural Networks	tensorflow/models · tensorflow/models · jean-kunz/ml_research_papers · +1	2014
34	BP-Transformer + GloVe	92.12		BP-Transformer: Modelling Long-Range Context via Binary Partitioning	dmlc/dgl · yzh119/BPT	2019
35	BCN+Char+CoVe	91.8		Learned in Translation: Contextualized Word Vectors	salesforce/cove · adi2103/AML-CoVe · menajosep/AleatoricSent · +2	2017
36	ToWE-SG	90.8		Task-oriented Word Embedding for Text Classification	qianliu0708/ToWE	2018
37	COSINE	90.54		Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach	yueyu1030/COSINE	2020
38	LSTM with dynamic skip	90.1		Long Short-Term Memory with Dynamic Skip Connections	lecholin/DynamicLSTM	2018
39	CNN+LSTM	88.9	✓	On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis	pedrada88/preproc-textclassification · changji2069/Scope-Project · changji2069/literature-review	2017
40	UnICORNN	88.4		UnICORNN: A recurrent model for learning very long time dependencies	tk-rusch/unicornn	2021
40	CfC	88.4		Closed-form Continuous-time Neural Models	raminmh/CfC	2021
42	Doc2VecC	88.3		Efficient Vector Representation for Documents through Corruption	mchen24/iclr2017	2017
43	Bert+ Wilson-Cowan model RNN	87.46		Learning in Wilson-Cowan model for metapopulation	raffaelemarino/learning_in_wilsoncowan	2024
44	coRNN	87.4%		Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies	tk-rusch/coRNN	2020
45	S-LSTM	87.15	✓	Sentence-State LSTM for Text Representation	leuchine/S-LSTM · LahiruSen/S-LSTM_Sinhala	2018
46	AlexNet [alexnet]	87		Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations	EddCBen/Classifying-Textual-Data-with-pretrained-Vision-Models-through-Transfer-Learning-and-Data-Transforms	2021
47	VGG16 [vgg16]	86		Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations	EddCBen/Classifying-Textual-Data-with-pretrained-Vision-Models-through-Transfer-Learning-and-Data-Transforms	2021
48	ResNext[resnext]	85		Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations	EddCBen/Classifying-Textual-Data-with-pretrained-Vision-Models-through-Transfer-Learning-and-Data-Transforms	2021
49	Enhancing Hyperspace Analogue to Languag 자동 추출	82.38		Enhancing Hyperspace Analogue to Language (HAL) Representations via Attention-Based Pooling for Text Classification		2026
50	Standard DR-AGG	45.1	✓	Information Aggregation via Dynamic Routing for Sequence Encoding	FudanNLP/Capsule4TextClassification · michael-wzhu/dynamic_routing_pytorch	2018