Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-019-04368-6.pdf
Reference101 articles.
1. Abuaiadah D (2016) Using bisect k-means clustering technique in the analysis of Arabic documents. ACM Trans Asian Low Resour Lang Inf Process 15(3):17
2. AbuZeina D, Al-Anzi FS (2017) Employing Fisher discriminant analysis for Arabic text classification. Comput Electr Eng 66:474–486
3. Ahmadizar F, Hemmati M, Rabanimotlagh A (2012) Two-stage text feature selection method using fuzzy entropy measure and ant colony optimization. In: 2012 20th Iranian conference on electrical engineering (ICEE). IEEE, pp 695–700
4. Ahmed M, Elhassan R (2015) Arabic text classification review. Int J Comput Sci Softw Eng 4(1):1–5
5. Al-Badarneh A, Al-Shawakfa E, Bani-Ismail B, Al-Rababah K, Shatnawi S (2017) The impact of indexing approaches on Arabic text classification. J Inf Sci 43(2):159–173
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