Mónica Bécue-Bertaut

Textual Data Science with R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 204
• Erscheinungstermin: 11. März 2019
• Englisch
• ISBN-13: 9781351816359
• Artikelnr.: 55682655

Autorenporträt

Mónica Bécue-Bertaut is an elected fellow of the International Statistical Institute and was named Chevalier des Palmes Académiques by the French Government. She taught statistics and data science at the Universitat Politènica de Catalunya and offered numerous guest lectures on textual data science in different countries. Dr. Bécue-Bertaut published several books (in French or Spanish) and work chapters (in English) on this last topic. She also participated in the design of software related to textual data science, such as SPAD.T and Xplortext; being this latter an R package.

Inhaltsangabe

Coding: From Corpus to Statistical Tables. Correspondence Analysis Applied
to Textual Data. Clustering in Textual Analysis. Lexical Characteristics of
the Parts of a Corpus. Multiple Tables in Textual Analysis. Analysis
Strategy through Applications.