Text Classification

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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

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

  1. Can Large Language Models Replace Human Coders? Introducing ContentBench

    Feb 23, 2026Michael HamanLLM-Assisted AnnotationLLM Evaluation

    Department of Humanities, Faculty of Economics and Management, Czech University of Life Sciences Prague, Czech Republic

  2. PerSoMed: A Large-Scale Balanced Dataset for Persian Social Media Text Classification

    Feb 22, 2026Isun Chehreh, Ebrahim AnsariText ClassificationSocial Media Analysis

    Institute for Advanced Studies in Basic Sciences (IASBS)

  3. "How Do I ...?": Procedural Questions Predominate Student-LLM Chatbot Conversations

    Feb 20, 2026Alexandra Neagu, Marcus Messer, Peter Johnson +1Generative AI in EducationEducational Dialogue Systems

    Imperial College London, London, United Kingdom

  4. What Language is This? Ask Your Tokenizer

    Feb 19, 2026Clara Meister, Ahmetcan Yavuz, Pietro Lesci +1Language IdentificationText Classification

    EPFL · ETH Zürich · University of Cambridge

  5. Operationalization of Machine Learning with Serverless Architecture: An Industrial Operationalization of Machine Learning with Serverless Architecture: An Industrial Implementation for Harmonized System Code Prediction

    Feb 19, 2026Sai Vineeth Kandappareddigari, Santhoshkumar Jagadish, Gauri Verma +4Text ClassificationClassification

    Governance Schneider Electric U.S.A Boston, USA · Tax and Customs Schneider Electric Mexico Mexico city, Mexico · Governance Schneider Electric Paris, France

  6. GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification

    Feb 17, 2026Ahmed Khaled KhamisMultilingual Text ClassificationAI-Generated Text Detection

    Georgia Institute of Technology

  7. X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection

    Feb 17, 2026Qi Zhang, Dian Chen, Lance M. Kaplan +4Phishing DetectionClassification

    Virginia Tech, USA · U.S. Army DEVCOM Army Research Laboratory, USA · University of Oslo, Norway +2

  8. Distilling LLM Reasoning into Graph of Concept Predictors

    Feb 3, 2026Ziyang Yu, Liang ZhaoCoT DistillationActive Learning

    Department of Computer Science Emory University Atlanta, USA

  9. RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Adaptive LLM-Generated Fake News Detection

    Jan 7, 2026Song-Duo Ma, Yi-Hung Liu, Hsin-Yu Lin +4Adversarial TrainingFake News Detection

    National Taiwan University, Taipei, Taiwan

  10. Context-Aware Classification and Grading of Sensitive Information in Online Conversational Health Data

    Dec 25, 2025Yiwei Yan, Guanfeng LiuHealthcareText Classification

    School of Computing, Macquarie University, Australia

  11. Adaptive Data Selection for Text Classification: Hierarchical Value with a Local Utility Budget

    Oct 24, 2025Xiyang Zhang, Hongzhi Wang, Yuanhe Tian +1Training Data SelectionData Valuation

    Faculty of Computing, Harbin Institute of Technology

  12. CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection

    Oct 10, 2025Zhao Tong, Chunlin Gong, Yimeng Gu +5Adversarial TrainingFake News Detection

    Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences · University of Minnesota +3

  13. Reasoning for Hierarchical Text Classification: The Case of Patents

    Oct 8, 2025Lekang Jiang, Wenjun Sun, Stephan GoetzHierarchical ClassificationText Classification

    University of Cambridge · National Science Library, Chinese Academy of Sciences · Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences

  14. Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval

    Aug 29, 2025Anuraj MauryaLegal NLPText Classification

    Bengaluru, India

  15. Enabling Quantum Natural Language Processing for Hindi Language

    Dec 2, 2023Naman Srivastava, Gaurang Belekar, Gautami Sanjay Naik +2Quantum NLPQuantum Machine Learning

    IIIT Dharwad Dharwad, India

  16. Learning From How Humans Correct

    Jan 30, 2021Tong GuoLearning with Noisy LabelsTraining Data Curation