The evaluation of accuracy performance in an enhanced embedded feature selection for unstructured text classification

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The evaluation of accuracy performance in an enhanced embedded feature selection for unstructured text classification

Text documents are unstructured and high dimensional. Effective feature selection is required to select the most important and significant feature from the sparse feature space. Thus, this paper proposed an embedded feature selection technique based on Term Frequency-Inverse Document Frequency (TF-I...

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Bibliographic Details
Main Authors:	Nur Syafiqah, Mohd Nafis, Suryanti, Awang
Format:	Article
Language:	English
Published:	University of Baghdad-College of Science 2020
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/30746/ http://umpir.ump.edu.my/id/eprint/30746/8/The%20Evaluation%20of%20Accuracy%20Performance.pdf

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