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

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

6200785260 / 9786200785268

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9786200785268

Title
Document Classification Algorithms : And Feature Selection Techniques with the Practical Test
Author
Esraa Hussein
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200785260
ISBN 13
9786200785268
Item weight
209 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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