Automatic text classification using machine learning and optimization algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-020-05209-8.pdf
Reference28 articles.
1. Aghdam MH, Ghasem-Aghaee N, Basiri ME (2009) Text feature selection using ant colony optimization. Expert Syst Appl 36(3):6843–6853
2. Ahmad SR, Yusop NMM, Bakar AA, Yaakub MR (2017) Statistical analysis for validating ACO-KNN algorithm as feature selection in sentiment analysis. In: AIP conference proceedings, vol 1891, no 1, p 020018. AIP Publishing
3. Alghamdi HS, Tang HL, Alshomrani S (2012) Hybrid ACO and TOFA feature selection approach for text classification. In: 2012 IEEE congress on evolutionary computation. IEEE, pp 1–6
4. Azam N, Yao J (2012) Comparison of term frequency and document frequency based feature selection metrics in text categorization. Expert Syst Appl 39(5):4760–4768
5. Chouchoulas A, Shen Q (2001) Rough set-aided keyword reduction for text categorization. Appl Artif Intell 15(9):843–873
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