Textual data science with R
Material type: TextSeries: Chapman & Hall/CRC Computer Science & Data AnalysisPublication details: CRC Press 2019 Boca RatonDescription: xvii, 194 p. Includes bibliographical references and indexISBN:- 9781138626911
- 401.410285555 B3T3
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
Book | Ahmedabad General Stacks | Non-fiction | 401.410285555 B3T3 (Browse shelf(Opens below)) | Available | 200255 | ||||
Book | Bodh Gaya General Stacks | IT&DS | 401.410285555 BEC (Browse shelf(Opens below)) | 1 | Available | IIMG-001092 |
Table of contents:
1. Encoding: from a corpus to statistical tables
2. Correspondence analysis of textual data
3. Applications of correspondence analysis
4. Clustering in textual analysis
5. Lexical characterization of parts of a corpus
6. Multiple factor analysis for textual analysis
7. Applications and analysis workflows
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.
https://www.crcpress.com/Textual-Data-Science-with-R/Becue-Bertaut/p/book/9781138626911
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