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Textual Data Science with R - Mónica Bécue-Bertaut

Textual Data Science with R

Buch | Hardcover
204 Seiten
2019
CRC Press (Verlag)
978-1-138-62691-1 (ISBN)
CHF 199,95 inkl. MwSt
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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.
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be 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.

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.

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.

Erscheinungsdatum
Reihe/Serie Chapman & Hall/CRC Computer Science & Data Analysis
Zusatzinfo 50 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 470 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Statistik
ISBN-10 1-138-62691-0 / 1138626910
ISBN-13 978-1-138-62691-1 / 9781138626911
Zustand Neuware
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