Scinovex
Subscribe
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

Journals publishing in this area

Articles on Scinovex in this research area

1 articles, most cited first

  1. Comparing clustering algorithms performance using multiple-objective functions
    International Journal of Statistics and Applied Mathematics · 2020 · 0 citations · AI summary