Overview

Text classification maps documents, sentences, or messages to categories, from broad topics and sentiment to specialized labels such as legal outcomes, medical findings, and safety risks. Common approaches range from TF-IDF with linear classifiers to fine-tuned transformer encoders, large language model prompting, retrieval, and methods that use label hierarchies, linguistic features, or multimodal evidence. Current work also focuses on learning with few labels, class imbalance, multilingual data, and efficient systems that combine automated predictions with human review. A central challenge is whether strong benchmark scores hold up on new domains, languages, long-tail classes, and ambiguous examples, while keeping costs and errors manageable.

Latest papers

CardsList

226 papers31 papers in the last four weeks, up 63% on the four weeks before. 0.2% of all new papers.

  1. ModTGCN: Modularity-aware Graph Neural Networks for Text Classification

    Apr 29, 2026Rajarshi Misra, Aditya Sharma, Vinti Agarwal +1Graph Neural NetworksText Classification

  2. Beyond Accuracy: LLM Variability in Evidence Screening for Software Engineering SLRs

    Apr 29, 2026Gilberto Sussumu Hida, Danilo Monteiro Ribeiro, Erika YahataSoftware EngineeringLLM Evaluation

  3. SG-UniBuc-NLP at SemEval-2026 Task 6: Multi-Head RoBERTa with Chunking for Long-Context Evasion Detection

    Apr 29, 2026Gabriel Stefan, Sergiu NisioiPolitical Discourse AnalysisText Classification

  4. Benchmarking PyCaret AutoML Against BiLSTM for Fine-Grained Emotion Classification: A Comparative Study on 20-Class Emotion Detection

    Apr 29, 2026Arya Muda Siregar, Arielva Simon Siahaan, Haikal Fransisko Simbolon +3Recurrent Neural NetworksText Classification

  5. G-Loss: Graph-Guided Fine-Tuning of Language Models

    Apr 28, 2026Aditya Sharma, Vinti Agarwal, Rajesh KumarLLM Fine-TuningText Classification

  6. Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection

    Apr 27, 2026Mengyang Chen, Lingwei Wei, Han Cao +3Fake News DetectionText Classification

  7. Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions

    Apr 22, 2026Shujauddin Syed, Ted PedersenPolitical Discourse AnalysisText Classification

  8. Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning

    Apr 20, 2026Guoming Long, Shihai Wang, Hui Fang +1Human-in-the-Loop AnnotationActive Learning

  9. Retrieval-Augmented Multimodal Model for Fake News Detection

    Apr 20, 2026Yiheng Li, Weihai Lu, Hanyi Yu +1Fake News DetectionText Classification

  10. ltzGLUE: Luxembourgish General Language Understanding Evaluation

    Apr 20, 2026Alistair Plum, Felicia Körner, Anne-Marie Lutgen +8LLM EvaluationText Classification

  11. Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts

    Apr 20, 2026Moinul Hossain, Sourav Rabi Das, Zikrul Shariar Ayon +4Text ClassificationLegal Document Analysis

  12. SCHK-HTC: Sibling Contrastive Learning with Hierarchical Knowledge-Aware Prompt Tuning for Hierarchical Text Classification

    Apr 17, 2026Ke Xiong, Qian Wu, Wangjie Gan +2Hierarchical ClassificationHierarchical Representation Learning

  13. L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification

    Apr 14, 2026Rishik Kondadadi, John E. OrtegaLearning to DeferText Classification

  14. LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines

    Apr 14, 2026Jiechao Gao, Rohan Kumar Yadav, Yuangang Li +4Text ClassificationInterpretable ML

  15. Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs

    Apr 13, 2026Shreeya Verma Kathuria, Nitin Mayande, Sharookh Daruwalla +2Text ClusteringText Classification

  16. Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning

    Apr 10, 2026Samuel Jaeger, Calvin Ibenye, Aya Vera-Jimenez +1Fake News DetectionAI-Generated Text Detection

  17. Retrieval Augmented Classification for Confidential Documents

    Apr 9, 2026Yeseul E. Chang, Rahul Kailasa, Simon Shim +2Retrieval-Augmented ClassificationText Classification

  18. Kathleen: Oscillator-Based Byte-Level Text Classification Without Tokenization or Attention

    Apr 9, 2026George FountzoulasText ClassificationOscillatory Neural Networks

  19. SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization

    Apr 8, 2026Usman Naseem, Robert Geislinger, Juan Ren +31Social Media AnalysisMultilingual Text Classification

  20. Multilingual Cognitive Impairment Detection in the Era of Foundation Models

    Apr 8, 2026Damar Hoogland, Boshko Koloski, Jaya Caporusso +5Speech-Based Dementia DetectionClinical Language Model Evaluation

  21. Document Classification Pattern Recognition via Information Fusion: A Systematic Review of Multimodal and Multiview Representation Approaches

    Apr 7, 2026Marcin Michał MirończukData FusionMultimodal Fusion

  22. AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics

    Apr 2, 2026Atilla Kaan Alkan, Felix Grezes, Sergi Blanco-Cuaresma +5AstrophysicsMulti-Label Classification

  23. Reliable News or Propagandist News? A Neurosymbolic Model Using Genre, Topic, and Persuasion Techniques to Improve Robustness in Classification

    Apr 2, 2026Géraud Faye, Benjamin Icard, Morgane Casanova +6Fake News DetectionText Classification