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 3601–3635 of 3635 papers

Title	Date	Tasks	Status
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams	Nov 11, 2019	Anorexia DetectionClassification	CodeCode Available
Deep Pyramid Convolutional Neural Networks for Text Categorization	Jul 1, 2017	Sentiment AnalysisSentiment Classification	CodeCode Available
The Trilemma of Truth in Large Language Models	Jun 30, 2025	AttributeConformal Prediction	CodeCode Available
Micro Text Classification Based on Balanced Positive-Unlabeled Learning	Mar 17, 2025	text-classificationText Classification	CodeCode Available
TTCB System Description to a Shared Task on Implicit and Underspecified Language 2021	Aug 1, 2021	Classificationtext-classification	CodeCode Available
Weakly-Supervised Hierarchical Text Classification	Dec 29, 2018	BlockingClassification	CodeCode Available
Retrieval Augmented Zero-Shot Text Classification	Jun 21, 2024	ClassificationRetrieval	CodeCode Available
AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss	Jun 20, 2020	ClassificationDeep Learning	CodeCode Available
Verifying the Robustness of Automatic Credibility Assessment	Mar 14, 2023	Fact CheckingMisinformation	CodeCode Available
Using Functional Schemas to Understand Social Media Narratives	Aug 1, 2019	ClassificationGeneral Classification	CodeCode Available
Deep N-ary Error Correcting Output Codes	Sep 22, 2020	ClassificationEnsemble Learning	CodeCode Available
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation	Nov 11, 2022	Fake News DetectionLanguage Modelling	CodeCode Available
Arabic Synonym BERT-based Adversarial Examples for Text Classification	Feb 5, 2024	Adversarial TextLanguage Modeling	CodeCode Available
ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile Applications	Sep 13, 2020	BIG-bench Machine Learningtext-classification	CodeCode Available
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models	Jun 11, 2024	text-classificationText Classification	CodeCode Available
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments	Oct 19, 2018	Domain AdaptationGeneral Classification	CodeCode Available
Deep Learning with Gaussian Differential Privacy	Nov 26, 2019	Deep LearningGeneral Classification	CodeCode Available
Mitigating Uncertainty in Document Classification	Jul 17, 2019	ClassificationDocument Classification	CodeCode Available
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis	Jan 17, 2024	Bilevel OptimizationHyperparameter Optimization	CodeCode Available
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness	Nov 20, 2022	counterfactualData Augmentation	CodeCode Available
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions	Apr 1, 2020	ClassificationDeep Learning	CodeCode Available
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification	Oct 1, 2022	Fairnesstext-classification	CodeCode Available
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features	Feb 2, 2022	text-classificationText Classification	CodeCode Available
ML-Net: multi-label classification of biomedical texts with deep neural networks	Nov 13, 2018	BenchmarkingClassification	CodeCode Available
Betti numbers of attention graphs is all you really need	Jul 5, 2022	AllClassification	CodeCode Available
A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning	Jun 17, 2022	Deep Learningtext-classification	CodeCode Available
Weakly-Supervised Neural Text Classification	Sep 2, 2018	ClassificationFeature Engineering	CodeCode Available
Adv-OLM: Generating Textual Adversaries via OLM	Jan 21, 2021	Sentencetext-classification	CodeCode Available
Model Compression for Domain Adaptation through Causal Effect Estimation	Jan 18, 2021	Domain AdaptationModel Compression	CodeCode Available
Deep Emotion Recognition in Textual Conversations: A Survey	Nov 16, 2022	BenchmarkingEmotion Recognition	CodeCode Available
BERT of all trades, master of some	May 1, 2020	Alltext-classification	CodeCode Available
Why and when should you pool? Analyzing Pooling in Recurrent Architectures	May 1, 2020	Sentencetext-classification	CodeCode Available
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation	Jun 3, 2023	Few-Shot Text ClassificationMeta-Learning	CodeCode Available
Active learning for reducing labeling effort in text classification tasks	Sep 10, 2021	Active Learningtext-classification	CodeCode Available
RICo: Reddit ideological communities	Jun 5, 2024	ArticlesNews Classification	CodeCode Available

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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