On classification trees and random forests in corpus linguistics: Some words of caution and suggestions for improvement

被引：59

作者：

Gries, Stefan Th ^{[1
,2
]}

机构：

[1] Univ Calif Santa Barbara, Linguist, Dept Linguist, Santa Barbara, CA 93106 USA

[2] Justus Liebig Univ Giessen, Giessen, Germany

来源：

CORPUS LINGUISTICS AND LINGUISTIC THEORY | 2020年 / 16卷 / 03期

关键词：

classification trees; random forests; regression modeling;

D O I：

10.1515/cllt-2018-0078

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

This paper is a discussion of methodological problems that (can) arise in the analysis of multifactorial data analyzed with tree-based or forest-based classifiers in (corpus) linguistics. I showcase a data set that highlights where such methods can fail at providing optimal results and then discuss solutions to this problem as well as the interpretation of random forests more generally.

引用

页码：617 / 647

页数：31

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