Statistical Analysis of Textual Data
Confidence ellipses on textual correspondence analysis graphs
Hierarchical words (LabelTree)
Correspondence Analysis of a Lexical Table from a TextData object (Lex...
Characteristic words and documents (LexChar)
Chronological Constrained Hierarchical Clustering on Correspondence An...
Correspondence Analysis on a Simple or Multiple Generalized Aggregate ...
Hierarchical Clustering on Textual Correspondence Analysis Coordinates...
Plot of LexCA objects
Plot LexChar objects
Plots for Chronological Constrained Hierarchical Clustering from LexCH...
Plot LexGalt objects
Plots for Hierarchical Clustering from LexHCca Objects
Plot TextData objects
Print LexCA objects
Print LexChar objects
Print TextData objects
Summary LexCA object
Summary LexChar object
Summary of TextData objects
Building textual and contextual tables (TextData)
Textual Analysis
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 <http://xplortext.unileon.es> for examples.