A Novel Feature Selection Approach Based on Document Frequency of Segmented Term Frequency

Feature selection is a very important process in text classification. It can effectively eliminate redundant features and retain feature words with strong class distinguishing ability. In this paper, we propose a feature selection algorithm based on document frequency of segmented term frequency (ST...

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Bibliographic Details
Main Authors: Hongfang Zhou, Shuang Han, Yibin Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8468153/