Feature Selection Based on Term Frequency Reordering of Document Level

Feature Selection Based on Term Frequency Reordering of Document Level

In this paper, we propose a new feature selection algorithm based on term frequency reordering of document level. In our proposed algorithm, it uses the document frequency to weigh the unbalanced factors of the data sets and considers the effect of the term frequency on the feature importance orderi...

Full description

Bibliographic Details
Main Authors: Hongfang Zhou, Yingjie Zhang, Hongjiang Liu, Yao Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Attribute selection
document frequency
feature selection
filtering method
term frequency weighting
text classification
Online Access:https://ieeexplore.ieee.org/document/8454728/

Internet

https://ieeexplore.ieee.org/document/8454728/

Similar Items