Evaluation multi label feature selection for text classification using weighted borda count approach

Due to the existence of text data, multi-label (ML) text classification is an essential task in machine learning. Feature selection is an essential and effective preprocess to enhance the learning process. Choosing a Multi-Label Feature Selection (MLFS) algorithm is the most basic, critical, and sen...

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Veröffentlicht in:	Iranian Joint Congress on Fuzzy and Intelligent Systems (Online) S. 1 - 6
Hauptverfasser:	Miri, Mohsen, Dowlatshahi, Mohammad Bagher, Hashemi, Amin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 02.03.2022
Schlagworte:	Classification algorithms Feature extraction Machine learning Machine learning algorithms Multi-label feature selection Task analysis Text categorization Text classification Voting Weighted Borda Count
ISSN:	2771-1374
Online-Zugang:	Volltext
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