A COPRAS-based approach to multi-label feature selection for text classification

DOI10.1016/J.MATCOM.2023.07.022MaRDI QIDQ6567028

R. Rakkiyappan, K. Janani, S. S. Mohanrasu

Publication date: 4 July 2024

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

zbMATH Keywords

decision makingnatural language processingtext classificationmulti-label feature selectionCOPRAS

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Comparing parameter choice methods for regularization of ill-posed problems
• ML-KNN: A lazy learning approach to multi-label learning
• Fast multi-label feature selection based on information-theoretic feature ranking
• Opposition-based moth-flame optimization improved by differential evolution for feature selection
• Multiple Comparisons Among Means
• Theory of Ridge Regression Estimation with Applications
• A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
• A two-dimensional approach to flexibility degree of XOR numbers with application to group decision making
• Feature-specific mutual information variation for multi-label feature selection

This page was built for publication: A COPRAS-based approach to multi-label feature selection for text classification

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6567028)