Textual data science with R [electronic resource] / Monica Bécue-Bertaut.
Bécue-Bertaut, Monica.| Call Number | 401.410285555 |
| Author | Bécue-Bertaut, Monica. |
| Title | Textual data science with R Monica Bécue-Bertaut. |
| Publication | [Place of publication not identified] : CRC Press, 2017. |
| Physical Description | 1 online resource |
| Series | Chapman & Hall/CRC computer science and data analysis series |
| 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. |
| Subject | MATHEMATICS / Probability & Statistics / General BUSINESS & ECONOMICS / Statistics COMPUTERS / Database Management / Data Mining Discourse analysis Statistical methods. COMPUTATIONAL LINGUISTICS. R (Computer program language) |
| Multimedia |
Total Ratings:
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| 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. |
| Subject | MATHEMATICS / Probability & Statistics / General BUSINESS & ECONOMICS / Statistics COMPUTERS / Database Management / Data Mining Discourse analysis Statistical methods. COMPUTATIONAL LINGUISTICS. R (Computer program language) |
| Multimedia |