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.
| ISBN: | 9781032093659 |
| Publication date: | 30th June 2021 |
| Author: | Mónica BécueBertaut |
| Publisher: | Chapman & Hall/CRC an imprint of Taylor & Francis Ltd |
| Format: | Paperback |
| Pagination: | 212 pages |
| Series: | Chapman & Hall/CRC Computer Science & Data Analysis |
| Genres: |
Psychological methodology Databases Probability and statistics |
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.
Textual Data Science with R features in the following genres: Psychological methodology, Databases, Probability and statistics
Paperback. £49.49, down from the £54.99 cover price. Not Available.
Textual Data Science with R was written by Mónica BécueBertaut and published by Chapman & Hall/CRC an imprint of Taylor & Francis Ltd
Textual Data Science with R has 212 pages
Yes it is part of Chapman & Hall/CRC Computer Science & Data Analysis series
£49.49, reduced from £54.99. Not Available.