ArticleArtificial intelligence review2023
A review of semi-supervised learning for text classification.
Article in Artificial intelligence review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A deep learning framework for emotion recognition in music using multimodal data fusion.Scientific reports · 2026Article
- Comparison of Mask-Wearing Behavior on Social Media and Its Relationship With Demographic Characteristics During the COVID-19 Pandemic: Social Media Data Analysis Between the United States and Japan.JMIR human factors · 2026Article
- Federated multi-label text feature selection via manifold-aware sparse modeling and cooperative grey wolf optimization.Scientific reports · 2026Article
- Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss.Scientific reports · 2025Article
- The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.JMIR medical informatics · 2025Article
- Predicting the availability of power line communication nodes using semi-supervised learning algorithms.Scientific reports · 2025Article
- Weakly supervised text classification on free-text comments in patient-reported outcome measures.Frontiers in digital health · 2025Article
- Machine learning approaches for predicting the link of the global trade network of liquefied natural gas.PloS one · 2025Article
- Weight-aware semi-supervised self-ensembling framework for interior decoration style classification.Frontiers in artificial intelligence · 2025Article
- An explainable deep learning framework for biosensing data interpretation in biomedical engineering and real-time health diagnostics.Frontiers in bioengineering and biotechnology · 2025Article
- Transfer learning-based English translation text classification in a multimedia network environment.PeerJ. Computer science · 2024Article
- sscNOVA: a semi-supervised convolutional neural network for predicting functional regulatory variants in autoimmune diseases.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A huge amount of data is generated daily leading to big data challenges. One of them is related to text mining, especially text classification. To perform this task we usually need a large set of labeled data that can be expensive, time-consuming, or difficult to be obtained. Considering this scenario semi-supervised learning (SSL), the branch of machine learning concerned with using labeled and unlabeled data has expanded in volume and scope. Since no recent survey exists to overview how SSL has been used in text classification, we aim to fill this gap and present an up-to-date review of SSL for text classification. We retrieve 1794 works from the last 5 years from IEEE Xplore, ACM Digital Library, Science Direct, and Springer. Then, 157 articles were selected to be included in this review. We present the application domain, datasets, and languages employed in the works. The text representations and machine learning algorithms. We also summarize and organize the works following a recent taxonomy of SSL. We analyze the percentage of labeled data used, the evaluation metrics, and obtained results. Lastly, we present some limitations and future trends in the area. We aim to provide researchers and practitioners with an outline of the area as well as useful information for their current research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.