LabelTree: Hierarchical words (LabelTree)

In Xplortext: Statistical Analysis of Textual Data

Hierarchical words (LabelTree)

Description

Extracts the hierarchical characteristic words associated to the nodes of a hierarchical tree; the characteristic words of each node are extracted, then each word is associated to the node that it best characterizes.

Usage

LabelTree(object, proba=0.05)

Arguments

object	object of LexHCca or LexCHCca class
proba	threshold on the p-value when the characteristic words are computed (by default 0.05)

Value

Returns a list including:

hierWord

list of the characteristic words associated to the nodes of a hierarchical tree; only the non-empty nodes are included

Author(s)

Monica Bécue-Bertaut, Ramón Alvarez-Esteban [e-mail], Josep-Anton Sánchez-Espigares, Belchin Kostov

References

Bécue-Bertaut, M., Kostov, B., Morin, A., & Naro, G. (2014). Rhetorical Strategy in Forensic Speeches: Multidimensional Statistics-Based Methodology. Journal of Classification,31,85-106. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s00357-014-9148-9")}.

Lebart, L., Salem, A., & Berry, L. (1998). Exploring textual data. (D. Kluwer, Ed.). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-94-017-1525-6")}.

See Also

LexCA, LexCHCca

Examples

data(open.question)
res.TD<-TextData(open.question,var.text=c(9,10), var.agg="Age_Group", Fmin=10, Dmin=10,
        stop.word.tm=TRUE)
 res.LexCA<-LexCA(res.TD, graph=FALSE)
 res.LexCHCca<-LexCHCca(res.LexCA, nb.clust=4, min=3)
 res.LabelTree<-LabelTree(res.LexCHCca)

Xplortext documentation built on Nov. 10, 2023, 1:06 a.m.