Max-difference maximization criterion: a feature selection method for text categorization

References

[1] Forman G . An extensive empirical study of feature selection metrics for text classification. The Journal of Machine Learning Research, 2003, 3: 1289–1305

[2] Rehman A, Javed K, Babri H A . Feature selection based on a normalized difference measure for text classification. Information Processing & Management, 2017, 53( 2): 473–489

[3] Rehman A, Javed K, Babri H A, Asim M N . Selection of the most relevant terms based on a max-min ratio metric for text classification. Expert Systems with Applications, 2018, 114: 78–96

[4] Kim K, Zzang S Y . Trigonometric comparison measure: a feature selection method for text categorization. Data & Knowledge Engineering, 2019, 119: 1–21

[5] Zhou H, Ma Y, Li X . Feature selection based on term frequency deviation rate for text classification. Applied Intelligence, 2021, 51( 6): 3255–3274

[6] Zhao Y, Karypis G, Fayyad U . Hierarchical clustering algorithms for document datasets. Data Mining and Knowledge Discovery, 2005, 10( 2): 141–168

[7] Rehman A, Javed K, Babri H A, Saeed M . Relative discrimination criterion − A novel feature ranking method for text data. Expert Systems with Applications, 2015, 42( 7): 3670–3681

[8] Parlak B, Uysal A K . A novel filter feature selection method for text classification: extensive feature selector. Journal of Information Science, 2021, 47( 2): 1–20

[9] Belazzoug M, Touahria M, Nouioua F, Brahimi M . An improved sine cosine algorithm to select features for text categorization. Journal of King Saud University-Computer and Information Sciences, 2020, 32( 4): 454–464

RIGHTS & PERMISSIONS

Higher Education Press