A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches

İNCİR, RAMAZAN; Yağanoğlu, Mete; Bozkurt, Ferhat

doi:10.17714/gumusfenbil.1396652

Makale Tam Makale Ulusal 2024

A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches

RAMAZAN İNCİR, Mete Yağanoğlu, Ferhat Bozkurt

Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi Cilt 14 · Sayı 3 · ss. 764–776 · 01.09.2024

DOI ile aç

Atıf için künye

İNCİR, R., Yağanoğlu, M., & Bozkurt, F. (2024). A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches. Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 14(3), 764–776. https://doi.org/10.17714/gumusfenbil.1396652

BibTeX

@article{incir2024-176814,
  author = {İNCİR, RAMAZAN and Yağanoğlu, Mete and Bozkurt, Ferhat},
  title = {A study on effective feature extraction and genetic algorithm based feature selection method in fake news detection classification using machine learning approaches},
  journal = {Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi},
  year = {2024},
  volume = {14},
  number = {3},
  pages = {764--776},
  issn = {2146-538X},
  doi = {10.17714/gumusfenbil.1396652},
  url = {https://akademik.atauni.edu.tr/yayinlar/176814-a-study-on-effective-feature-extraction-and-genetic-algorithm-based-feature}
}