Textual Data Science with R

Textual Data Science with R (Chapman & Hall/CRC Computer Science & Data Analysis)
By 作者:Mónica Bécue-Bertaut
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Pages 页数: 204 pages
Publisher Finelybook 出版社: Chapman and Hall/CRC; 1 edition (March 1, 2019)
Language 语言: English
ISBN-10 书号:1138626910
ISBN-13 书号:9781138626911

The Book Description robot was collected from Amazon and arranged by Finelybook
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported By 作者:a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated By 作者: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.


1:Encoding:from a corpus to statistical tables
2:Correspondence analysis of textual data
3:Applications of correspondence analysis
4:Clustering in textual data science
5:Lexical characterization of parts of a corpus
6:Multiple factor analysis for textual data
7:Applications and analysis workflows
Appendix: Textual data science packages inR


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