Hybrid support vector machine based feature selection method for text classification

field_of_study

Blank

university

Al-Quds Open University

authors

Sabbah T.; Ayyash M.; Ashraf M.

authors_full_names

Sabbah, Thabit (54406274100); Ayyash, Mosab (57203101756); Ashraf, Mahmood (57202596472)

authors_id

54406274100; 57203101756; 57202596472

year

2018

source_title

International Arab Journal of Information Technology

article_title

Hybrid support vector machine based feature selection method for text classification

volume

15

issue

3A Special Issue

page_start

599

page_end

609

publisher

Zarka Private University

affiliations

Faculty of Technology and Applied Sciences, Al-Quds Open University, Palestine; Department of Computer Science, Federal Urdu University, Pakistan

authors_with_affiliations

Sabbah T., Faculty of Technology and Applied Sciences, Al-Quds Open University, Palestine; Ayyash M., Faculty of Technology and Applied Sciences, Al-Quds Open University, Palestine; Ashraf M., Department of Computer Science, Federal Urdu University, Pakistan

cited_by

12

author_keywords

Dimensionality reduction; Feature ranking; Feature selection; Hybridization; SVM-based weighting; Text classification