Semantic Scholar Open Access 2019 86 sitasi

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

Stefan Th Gries

Abstrak

Abstract 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.

Topik & Kata Kunci

Computer Science

Penulis (1)

Stefan Th Gries

Format Sitasi

APA MLA BibTeX

Gries, S.T. (2019). On classification trees and random forests in corpus linguistics: Some words of caution and suggestions for improvement. https://doi.org/10.1515/CLLT-2018-0078

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 86×
Sumber Database: Semantic Scholar
DOI: 10.1515/CLLT-2018-0078
Akses: Open Access ✓