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Textual Data Science with R
Taschenbuch von Mónica Bécue-Bertaut
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2021
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9781032093659
ISBN-10: 103209365X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Bécue-Bertaut, Mónica
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 234 x 156 x 12 mm
Von/Mit: Mónica Bécue-Bertaut
Erscheinungsdatum: 30.06.2021
Gewicht: 0,333 kg
Artikel-ID: 128438437
Über den Autor

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.

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2021
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
ISBN-13: 9781032093659
ISBN-10: 103209365X
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Bécue-Bertaut, Mónica
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 234 x 156 x 12 mm
Von/Mit: Mónica Bécue-Bertaut
Erscheinungsdatum: 30.06.2021
Gewicht: 0,333 kg
Artikel-ID: 128438437
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