Text Classification

Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.

In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.

( Image credit: Text Classification Algorithms: A Survey )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 126–150 of 3635 papers

Title	Date	Tasks	Status	Hype
Large Language Models to Identify Social Determinants of Health in Electronic Health Records	Aug 11, 2023	Adversarial RobustnessEthics	CodeCode Available	1
GIST: Generating Image-Specific Text for Fine-grained Object Classification	Jul 21, 2023	ClassificationFine-Grained Image Classification	CodeCode Available	1
Prompt Tuning on Graph-augmented Low-resource Text Classification	Jul 15, 2023	ArticlesClassification	CodeCode Available	1
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation	Jul 14, 2023	Aspect-Based Sentiment AnalysisAttribute	CodeCode Available	1
Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification	Jun 26, 2023	ClassificationEmotion Classification	CodeCode Available	1
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification	Jun 15, 2023	ClassificationFew-Shot Text Classification	CodeCode Available	1
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks	Jun 13, 2023	text-classificationText Classification	CodeCode Available	1
Linear Classifier: An Often-Forgotten Baseline for Text Classification	Jun 12, 2023	Classificationtext-classification	CodeCode Available	1
Learning Transformer Programs	Jun 1, 2023	In-Context LearningInterpretable Machine Learning	CodeCode Available	1
Efficient Shapley Values Estimation by Amortization for Text Classification	May 31, 2023	Classificationtext-classification	CodeCode Available	1
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning	May 29, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Mitigating Label Biases for In-context Learning	May 28, 2023	In-Context Learningtext-classification	CodeCode Available	1
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification	May 26, 2023	ClassificationContrastive Learning	CodeCode Available	1
Label Agnostic Pre-training for Zero-shot Text Classification	May 25, 2023	Classificationtext-classification	CodeCode Available	1
ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification	May 24, 2023	text-classificationText Classification	CodeCode Available	1
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification	May 24, 2023	Hierarchical Multi-label ClassificationMulti-Label Classification	CodeCode Available	1
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training	May 23, 2023	Pseudo LabelSentiment Analysis	CodeCode Available	1
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining	May 20, 2023	Extractive SummarizationKnowledge Distillation	CodeCode Available	1
Zero-Shot Text Classification via Self-Supervised Tuning	May 19, 2023	ClassificationSelf-Supervised Learning	CodeCode Available	1
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval	May 18, 2023	DescriptiveRetrieval	CodeCode Available	1
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification	May 16, 2023	ClassificationContrastive Learning	CodeCode Available	1
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation	May 16, 2023	Knowledge Distillationtext-classification	CodeCode Available	1
Pre-Training to Learn in Context	May 16, 2023	In-Context LearningLanguage Modeling	CodeCode Available	1
UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning	May 16, 2023	Contrastive LearningImage-text Classification	CodeCode Available	1
Text Classification via Large Language Models	May 15, 2023	ClassificationDiagnostic	CodeCode Available	1

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All datasets MTEB AG News DBpedia R8 TREC-6 20NEWS UK Key Stage Readability Ohsumed Yahoo! Answers MR Climabench NewsDiscourse

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ST5-XXL	Accuracy	73.42	—	Unverified
2	ST5-XL	Accuracy	72.84	—	Unverified
3	ST5-Large	Accuracy	72.31	—	Unverified
4	Ada Similarity	Accuracy	70.44	—	Unverified
5	SGPT-5.8B-nli	Accuracy	70.14	—	Unverified
6	ST5-Base	Accuracy	69.81	—	Unverified
7	SGPT-5.8B-msmarco	Accuracy	68.13	—	Unverified
8	MPNet-multilingual	Accuracy	67.91	—	Unverified
9	GTR-XXL	Accuracy	67.41	—	Unverified
10	SimCSE-BERT-sup	Accuracy	67.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mistral-Small-24B + CAPO	Error	15.7	—	Unverified
2	ToWE-SG	Error	14	—	Unverified
3	Qwen2.5-32B + CAPO	Error	12.93	—	Unverified
4	Llama-3.3-70B + CAPO	Error	11.2	—	Unverified
5	Seq2CNN with GWS(50)	Error	9.64	—	Unverified
6	Char-level CNN	Error	9.51	—	Unverified
7	SVDCNN	Error	9.45	—	Unverified
8	VDCN	Error	8.67	—	Unverified
9	Balanced+bi-leaf-RNN	Error	7.9	—	Unverified
10	CCCapsNet	Error	7.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Seq2CNN(50)	Error	2.77	—	Unverified
2	Char-level CNN	Error	1.55	—	Unverified
3	SWEM-concat	Error	1.43	—	Unverified
4	FastText	Error	1.4	—	Unverified
5	VDCN	Error	1.29	—	Unverified
6	CCCapsNet	Error	1.28	—	Unverified
7	Balanced+bi-leaf-RNN	Error	1.2	—	Unverified
8	BERT large UDA	Error	1.09	—	Unverified
9	M-ACNN	Error	1.07	—	Unverified
10	EXAM	Error	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeBERTa	Accuracy	98.45	—	Unverified
2	C-BERT (ESGNN + BERT)	Accuracy	98.28	—	Unverified
3	ESGNN	Accuracy	98.23	—	Unverified
4	RoBERTaGCN	Accuracy	98.2	—	Unverified
5	BERT	Accuracy	98.17	—	Unverified
6	SGNN	Accuracy	98.09	—	Unverified
7	ERNIE 2.0	Accuracy	98.04	—	Unverified
8	DistilBERT	Accuracy	97.98	—	Unverified
9	Our Model*	Accuracy	97.8	—	Unverified
10	ALBERTv2	Accuracy	97.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TM-Glove	Error	9.96	—	Unverified
2	byte mLSTM7	Error	9.6	—	Unverified
3	SWEM-aver	Error	7.8	—	Unverified
4	DELTA (CNN)	Error	7.8	—	Unverified
5	Capsule-B	Error	7.2	—	Unverified
6	STM+TSED+PT+2L	Error	7.04	—	Unverified
7	GRU-RNN-GLOVE	Error	7	—	Unverified
8	MPAD-path	Error	6.2	—	Unverified
9	VLAWE	Error	5.8	—	Unverified
10	C-LSTM	Error	5.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LinearSVM+TFIDF	Accuracy	93	—	Unverified
2	RoBERTaGCN	Accuracy	89.5	—	Unverified
3	SSGC	Accuracy	88.6	—	Unverified
4	SGC	Accuracy	88.5	—	Unverified
5	SGCN	Accuracy	88.5	—	Unverified
6	RMDL (15 RDLs)	Accuracy	87.91	—	Unverified
7	Sparse Tensor Classifier	Accuracy	87.3	—	Unverified
8	GraphStar	Accuracy	86.9	—	Unverified
9	NABoE-full	Accuracy	86.8	—	Unverified
10	Text GCN	Accuracy	86.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ELECTRA + ANN	F1	99.6	—	Unverified
2	ERNIE + ANN	F1	99.4	—	Unverified
3	XLNet + ANN	F1	99.2	—	Unverified
4	RoBERTa + ANN	F1	98.7	—	Unverified
5	Longformer + ANN	F1	93.9	—	Unverified
6	BERT + ANN	F1	90.5	—	Unverified
7	ALBERT + ANN	F1	79.7	—	Unverified
8	BERT	F1	75	—	Unverified
9	DistilBERT	F1	74.4	—	Unverified
10	XLNet	F1	74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RoBERTaGCN	Accuracy	72.8	—	Unverified
2	Our Model*	Accuracy	69.4	—	Unverified
3	SSGC	Accuracy	68.5	—	Unverified
4	SGC	Accuracy	68.5	—	Unverified
5	SGCN	Accuracy	68.5	—	Unverified
6	Text GCN	Accuracy	68.36	—	Unverified
7	GraphStar	Accuracy	64.2	—	Unverified
8	ApproxRepSet	Accuracy	64.06	—	Unverified
9	REL-RWMD k-NN	Accuracy	58.74	—	Unverified
10	CNN+Lowercased	Accuracy	36.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT-ITPT-FiT	Accuracy	77.62	—	Unverified
2	DRNN	Accuracy	76.26	—	Unverified
3	DELTA (HAN)	Accuracy	75.1	—	Unverified
4	EXAM	Accuracy	74.8	—	Unverified
5	DNC+CUW	Accuracy	74.3	—	Unverified
6	ULMFiT (Small data)	Accuracy	74.3	—	Unverified
7	CCCapsNet	Accuracy	73.85	—	Unverified
8	SWEM-concat	Accuracy	73.53	—	Unverified
9	FastText	Accuracy	72.3	—	Unverified
10	Seq2CNN(50)	Accuracy	55.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeBERTa	Accuracy	90.21	—	Unverified
2	RoBERTaGCN	Accuracy	89.7	—	Unverified
3	ERNIE 2.0 (optimized)	Accuracy	89.53	—	Unverified
4	RoBERTa	Accuracy	89.42	—	Unverified
5	ERNIE 2.0	Accuracy	88.97	—	Unverified
6	BERT	Accuracy	86.94	—	Unverified
7	ALBERTv2	Accuracy	86.02	—	Unverified
8	DistilBERT	Accuracy	85.31	—	Unverified
9	SSGC	Accuracy	76.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CliReBERT (P0L3/clirebert_clirevocab_uncased)	Evaluation Macro F1	0.65	—	Unverified
2	ClimateBERT (climatebert/distilroberta-base-climate-f)	Evaluation Macro F1	0.64	—	Unverified
3	BERT (google-bert/bert-base-uncased)	Evaluation Macro F1	0.61	—	Unverified
4	CliSciBERT (P0L3/cliscibert_scivocab_uncased)	Evaluation Macro F1	0.61	—	Unverified
5	SciBERT (allenai/scibert_scivocab_cased)	Evaluation Macro F1	0.59	—	Unverified
6	DistilRoBERTa (distilbert/distilroberta-base)	Evaluation Macro F1	0.58	—	Unverified
7	SciClimateBERT (P0L3/sciclimatebert)	Evaluation Macro F1	0.58	—	Unverified
8	RoBERTa (FacebookAI/roberta-base)	Evaluation Macro F1	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Human (Post-Rec.) (Spangher et al., 2021)	macro F1	73.69	—	Unverified
2	MT-Mac (Spangher et al., 2021)	macro F1	63.46	—	Unverified
3	MT-Mic (Spangher et al., 2021)	macro F1	61.89	—	Unverified
4	RL-IP/TT (Choubey et al., 2021)	macro F1	57	—	Unverified
5	Document LSTM + Document encoding (Choubey et al., 2020)	macro F1	54.4	—	Unverified
6	CRF Fine-grained (Choubey et al., 2020)	macro F1	52.9	—	Unverified
7	Human (Blind) (Spangher et al., 2021)	macro F1	46.18	—	Unverified
8	Feature-based (SVM) (Choubey et al., 2020)	macro F1	38.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1-6 BertGCN	Accuracy	96.6	—	Unverified
2	GraphStar	Accuracy	95	—	Unverified
3	Our Model*	Accuracy	94.6	—	Unverified
4	SSGC	Accuracy	94.5	—	Unverified
5	SGC	Accuracy	94	—	Unverified
6	SGCN	Accuracy	94	—	Unverified
7	Text GCN	Accuracy	93.56	—	Unverified
8	TM-Glove	Accuracy	89.14	—	Unverified