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Textual data science with R Book / Mónica Bécue-Bertaut.

By: Material type: TextTextDescription: xvii, 194 pages : illustrations (black and white) ; 24 cmISBN:
  • 9781032093659 (paperback)
Subject(s): DDC classification:
  • 410.188 23
Other classification:
  • 410.188
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor 410.188 BEC-T 62611 (Browse shelf(Opens below)) Available 10001000062611
Total holds: 0

Includes bibliography and index

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.

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