Xplortext-package: Textual Analysis
In Xplortext: Statistical Analysis of Textual Data
Xplortext-package R Documentation
Textual Analysis
Description
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.
See https://xplortext.unileon.es for examples.
Details
Package: Xplortext
Type: Package
Version: 1.5.3
Date: 2023-11-09
License: GPL (>=2.0)
Author(s)
Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-
Espigares, Belchin Kostov
Maintainer: ramon.alvarez@unileon.es
References
Bécue, M. (2019). Textual Data Science with R. Chapman & Hall/CRC. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1201/9781315212661")}.
Husson F., Lê S., Pagès J. (2011). Exploratory Multivariate Analysis by Example Using R. Chapman & Hall/CRC. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1201/b10345")}.
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")}.
A website https://xplortext.unileon.es
Xplortext documentation built on Nov. 10, 2023, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| Xplortext-package | R Documentation |
Textual Analysis
Description
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. See https://xplortext.unileon.es for examples.
Details
| Package: | Xplortext |
| Type: | Package |
| Version: | 1.5.3 |
| Date: | 2023-11-09 |
| License: GPL (>=2.0) |
Author(s)
Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-
Espigares, Belchin Kostov
Maintainer: ramon.alvarez@unileon.es
References
Bécue, M. (2019). Textual Data Science with R. Chapman & Hall/CRC. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1201/9781315212661")}.
Husson F., Lê S., Pagès J. (2011). Exploratory Multivariate Analysis by Example Using R. Chapman & Hall/CRC. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1201/b10345")}.
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")}.
A website https://xplortext.unileon.es
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.