Exploring Textual Data is popular PDF and ePub book, written by Ludovic Lebart in 2013-04-17, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Exploring Textual Data can be Read Online from any device for your convenience.
Exploring Textual Data Book PDF Summary
Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Faced with a large amount of textual data collected in marketing surveys, literary investigations, historical archives and documentary data bases, these researchers require assistance with organizing, describing and comparing texts. Exploring Textual Data demonstrates how exploratory multivariate statistical methods such as correspondence analysis and cluster analysis can be used to help investigate, assimilate and evaluate textual data. The main text does not contain any strictly mathematical demonstrations, making it accessible to a large audience. This book is very user-friendly with proofs abstracted in the appendices. Full definitions of concepts, implementations of procedures and rules for reading and interpreting results are fully explored. A succession of examples is intended to allow the reader to appreciate the variety of actual and potential applications and the complementary processing methods. A glossary of terms is provided.
Detail Book of Exploring Textual Data PDF
- Author : Ludovic Lebart
- Release : 17 April 2013
- Publisher : Springer Science & Business Media
- ISBN : 9789401715256
- Genre : Mathematics
- Total Page : 270 pages
- Language : English
- PDF File Size : 18,9 Mb
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