Exploring Textual Data

Exploring Textual Data
Author :
Publisher : Springer Science & Business Media
Total Pages : 270
Release :
ISBN-10 : 9789401715256
ISBN-13 : 9401715254
Rating : 4/5 (254 Downloads)

Book Synopsis Exploring Textual Data by : Ludovic Lebart

Download or read book Exploring Textual Data written by Ludovic Lebart and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Fa