Document Classification Algorithms: And Feature Selection Techniques with the Practical Test - Tapa blanda

Hussein, Esraa; Hussein, Ahmed

 
9786200785268: Document Classification Algorithms: And Feature Selection Techniques with the Practical Test
Tapa blanda
ISBN 10: 6200785260 ISBN 13: 9786200785268
Editorial: LAP LAMBERT Academic Publishing, 2020

Sinopsis

Documents classification is one of the most important fields in Natural language processing and text mining. There are many algorithms can be used to perform this task. Most of the used algorithms are from machine learning like: Decision Tree, Support Vector Machine, K-Nearest Neighbors and Naïve Bayes. These are the most essential four classification algorithms. Many researches try to modify and improve these algorithms for text classification. In this book, our work is divided into two levels: (i) a comparative study for these four algorithms, (ii) studying the improvement of document classification with feature selection where four feature selection methods are used and a new feature selection method is suggested.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2020
Idioma
Inglés
ISBN 10 
6200785260
ISBN 13 
9786200785268
Encuadernación
Tapa blanda
Número de páginas
128
Contacto del fabricante
no disponible
Persona responsable
no disponible