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Text Mining with MATLAB (R) (Paperback, 2nd ed. 2021)
Loot Price: R2,304
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Text Mining with MATLAB (R) (Paperback, 2nd ed. 2021)
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Text Mining with MATLAB (R) provides a comprehensive introduction
to text mining using MATLAB. It is 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 book is structured in three main parts:
The first part, Fundamentals, introduces basic procedures and
methods for manipulating and operating with text within the MATLAB
programming environment. The second part of the book, Mathematical
Models, is devoted to motivating, introducing, and explaining the
two main paradigms of mathematical models most commonly used for
representing text data: the statistical and the geometrical
approach. Eventually, the third part of the book, Techniques and
Applications, addresses general problems in text mining and natural
language processing applications such as document categorization,
document search, content analysis, summarization, question
answering, and conversational systems. This second edition includes
updates in line with the recently released "Text Analytics Toolbox"
within the MATLAB product and introduces three new chapters and six
new sections in existing ones. 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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