A two-step feature selection method for quranic text classification

Volume: 16, Issue: 2, Pages: 730 - 730
Published: Nov 1, 2019
Abstract
Feature selection is an integral phase in text classification problems. It is primarily applied in preprocessing text data prior to labeling. However, there exist some limitations with the FS techniques. The filter-based FS techniques have the drawback of lower accuracy performance while the wrapper-based techniques are highly computationally expensive to process. In this paper, a two-step FS method is presented. In the first step, chisquare...
Paper Details
Title
A two-step feature selection method for quranic text classification
Published Date
Nov 1, 2019
Volume
16
Issue
2
Pages
730 - 730
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