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: | 9781138626911 |
| Publication date: | 7th March 2019 |
| Author: | Monica BécueBertaut |
| Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
| Format: | Hardback |
| Pagination: | 204 pages |
| Series: | Chapman & Hall/CRC Computer Science & Data Analysis |
| Genres: |
Data mining Computational and corpus linguistics Data science and analysis: general 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: Data mining, Computational and corpus linguistics, Data science and analysis: general, Probability and statistics
Hardback. £131.39, down from the £145.99 cover price. Not Available.
Textual Data Science With R was written by Monica BécueBertaut and published by Chapman & Hall/CRC an imprint of CRC Press
Textual Data Science With R has 204 pages
Yes it is part of Chapman & Hall/CRC Computer Science & Data Analysis series
£131.39, reduced from £145.99. Not Available.