Xplortext: Statistical Analysis of Textual Data

Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. CaGalt() helps to explore the relationships between lexical choices and contextual variables. See <http://www.Xplortext.org> for examples.

Package details

AuthorMonica Bcue-Bertaut, Ramn Alvarez-Esteban, Josep-Anton Snchez-Espigares
MaintainerRamn Alvarez-Esteban <[email protected]>
LicenseGPL (>= 2.0)
Version1.1.1
URL http://www.xplortext.org
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Xplortext")

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Xplortext documentation built on Jan. 23, 2018, 5:03 p.m.