A Feature Selection Method for Multi-Label Text Based on Feature Importance

A Feature Selection Method for Multi-Label Text Based on Feature Importance

Multi-label text classification refers to a text divided into multiple categories simultaneously, which corresponds to a text associated with multiple topics in the real world. The feature space generated by text data has the characteristics of high dimensionality and sparsity. Feature selection is...

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Bibliographic Details
Main Authors:	Lu Zhang, Qingling Duan
Format:	Article
Language:	English
Published:	MDPI AG 2019-02-01
Series:	Applied Sciences
Subjects:	feature selection multi-label text classification category contribution feature importance
Online Access:	https://www.mdpi.com/2076-3417/9/4/665

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