"Text Mining with MATLAB" provides a comprehensive introduction
to text mining using MATLAB. It's designed to help text mining
practitioners, as well as those with little-to-no experience with
text mining in general, familiarize themselves with MATLAB and its
complex applications.
The first part provides an introduction to basic procedures for
handling and operating with text strings. Then, it reviews major
mathematical modeling approaches. Statistical and geometrical
models are also described along with main dimensionality reduction
methods. Finally, it presents some specific applications such as
document clustering, classification, search and terminology
extraction.
All descriptions presented are supported with practical examples
that are fully reproducible. Further reading, as well as additional
exercises and projects, are proposed at the end of each chapter for
those readers interested in conducting further experimentation.
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