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

Esraa Hussein (u. a.)

ISBN 10: 6200785260 / ISBN 13: 9786200785268

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

Document Classification Algorithms | And Feature Selection Techniques with the Practical Test | Esraa Hussein (u. a.) | Taschenbuch | 128 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200785268 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 118453689

Bibliographic Details

• Title: Document Classification Algorithms | And Feature Selection Techniques with the Practical Test
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6200785260
• ISBN 13: 9786200785268
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 209 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.