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- 212 pages
- 8 hours of reading
More about the book
Focusing on multidimensional methods in textual statistics, this book provides a thorough exploration supported by a custom R package. It caters to a diverse audience, including practitioners seeking to extract insights from texts and students engaged in massive data analysis, highlighting the increasing importance of textual data processing in various fields.
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Textual Data Science with R, Mónica Bécue-Bertaut
- Language
- Released
- 2021
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- (Paperback)
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- Language
- English
- Authors
- Mónica Bécue-Bertaut
- Publisher
- CRC Press
- Released
- 2021
- Format
- Paperback
- Pages
- 212
- ISBN13
- 9781032093659
- Tags
- Non-Fiction, Social Sciences, Technology & Engineering, Science & Math, Psychology, Computers & Internet, Mathematics
- Rating
- 5 out of 5
- Description
- Focusing on multidimensional methods in textual statistics, this book provides a thorough exploration supported by a custom R package. It caters to a diverse audience, including practitioners seeking to extract insights from texts and students engaged in massive data analysis, highlighting the increasing importance of textual data processing in various fields.