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 901–925 of 3635 papers

Title	Date	Tasks	Status	Hype
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text	May 9, 2023	ClassificationDecoder	CodeCode Available	1
What Do Patients Say About Their Disease Symptoms? Deep Multilabel Text Classification With Human-in-the-Loop Curation for Automatic Labeling of Patient Self Reports of Problems	May 8, 2023	Multilabel Text ClassificationMulti Label Text Classification	—Unverified	0
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition	May 6, 2023	Relationtext-classification	CodeCode Available	1
Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks	May 6, 2023	text-classificationText Classification	—Unverified	0
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting	May 5, 2023	ArticlesClassification	—Unverified	0
White-Box Multi-Objective Adversarial Attack on Dialogue Generation	May 5, 2023	Adversarial AttackDecision Making	CodeCode Available	1
Natural Language Processing and Sentiment Analysis on Bangla Social Media Comments on Russia–Ukraine War Using Transformers	May 4, 2023	Hyperparameter OptimizationSentiment Analysis	CodeCode Available	0
Tuning Traditional Language Processing Approaches for Pashto Text Classification	May 4, 2023	ClassificationText Categorization	—Unverified	0
DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning	May 4, 2023	Language ModelingLanguage Modelling	—Unverified	0
Enhancing Pashto Text Classification using Language Processing Techniques for Single And Multi-Label Analysis	May 4, 2023	Classificationtext-classification	—Unverified	0
Towards Weakly-Supervised Hate Speech Classification Across Datasets	May 4, 2023	Classificationtext-classification	—Unverified	0
Backdoor Learning on Sequence to Sequence Models	May 3, 2023	Machine TranslationSentence	—Unverified	0
Using Language Models on Low-end Hardware	May 3, 2023	ClassificationLanguage Modeling	—Unverified	0
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs	May 3, 2023	ClassificationDecision Making	CodeCode Available	0
The Benefits of Label-Description Training for Zero-Shot Text Classification	May 3, 2023	Classificationdomain classification	CodeCode Available	0
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models	May 2, 2023	Backdoor AttackFew-Shot Text Classification	—Unverified	0
Privacy-Preserving In-Context Learning for Large Language Models	May 2, 2023	In-Context LearningPrivacy Preserving	—Unverified	0
Company classification using zero-shot learning	May 1, 2023	Classificationnamed-entity-recognition	—Unverified	0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression	May 1, 2023	In-Context LearningLanguage Modeling	—Unverified	0
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems	Apr 28, 2023	ClassificationIntrusion Detection	CodeCode Available	1
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset	Apr 25, 2023	Data Augmentationtext-classification	—Unverified	0
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM	Apr 24, 2023	Instruction FollowingLanguage Modelling	CodeCode Available	1
Graph Neural Networks for Text Classification: A Survey	Apr 23, 2023	Classificationgraph construction	—Unverified	0
LaMP: When Large Language Models Meet Personalization	Apr 22, 2023	Language ModelingLanguage Modelling	CodeCode Available	1
Text2Time: Transformer-based Article Time Period Prediction	Apr 21, 2023	ArticlesPrediction	—Unverified	0

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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