Classification of texts using decision trees and neural networks of direct propagation

被引：0

作者：

Shevelyov, O. G.

Petrakov, A., V

机构：

来源：

TOMSK STATE UNIVERSITY JOURNAL | 2006年 / 290期

关键词：

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Considered two different approaches to automatic text classification: Decision Trees and Artificial Neural Networks. Texts are represented as set of quantitative features. Given detailed description of methods and examples of text classification by author style. Made comparison of classification efficiency for every approach with different number of authors, different features and training set sizes.

引用

页码：300 / +

页数：9