https://openalex.org/T11550
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.
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rdfs:label "Multi-label Text Classification in Machine Learning"@en ;
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skos:definition "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."@en ;
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skos:prefLabel "Multi-label Text Classification in Machine Learning"@en ;
openalex:cited_by_count 397115 ;
openalex:works_count 23720 .