Researchers in a number of disciplines deal with large textsets requiring both text management and text analysis. Faced with alarge amount of textual data collected in marketing surveys, literaryinvestigations, historical archives and documentary data bases, theseresearchers require assistance with organizing, describing andcomparing texts. Exploring Textual Data demonstrates how exploratory multivariatestatistical methods such as correspondence analysis andcluster analysis can be used to help investigate,assimilate and evaluate textual data. The main text does not containany strictly mathematical demonstrations, making it accessible to alarge audience. This book is very user-friendly with proofs abstractedin the appendices. Full definitions of concepts, implementations ofprocedures and rules for reading and interpreting results are fullyexplored. A succession of examples is intended to allow the reader toappreciate the variety of actual and potential applications and thecomplementary processing methods. A glossary of terms is provided.