Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

This cluster of papers focuses on the application of machine learning algorithms for multi-label text classification, with an emphasis on techniques such as feature selection, Naive Bayes classifier, K-nearest Neighbor (KNN), hierarchical classification, and support vector machines (SVM). The research covers various aspects of document categorization and information retrieval in the context of text mining and natural language processing.

36.1K works worldwide454.6K citations

Multi-label LearningText ClassificationFeature SelectionNaive Bayes ClassifierK-nearest Neighbor (KNN)Hierarchical ClassificationMachine Learning AlgorithmsDocument CategorizationSupport Vector Machines (SVM)Information Retrieval