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Text Mining with Machine Learning - Principles and Techniques (Hardcover)
Loot Price: R4,865
Discovery Miles 48 650
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Text Mining with Machine Learning - Principles and Techniques (Hardcover)
Expected to ship within 12 - 17 working days
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This book provides a perspective on the application of machine
learning-based methods in knowledge discovery from natural
languages texts. By analysing various data sets, conclusions which
are not normally evident, emerge and can be used for various
purposes and applications. The book provides explanations of
principles of time-proven machine learning algorithms applied in
text mining together with step-by-step demonstrations of how to
reveal the semantic contents in real-world datasets using the
popular R-language with its implemented machine learning
algorithms. The book is not only aimed at IT specialists, but is
meant for a wider audience that needs to process big sets of text
documents and has basic knowledge of the subject, e.g. e-mail
service providers, online shoppers, librarians, etc. The book
starts with an introduction to text-based natural language data
processing and its goals and problems. It focuses on machine
learning, presenting various algorithms with their use and
possibilities, and reviews the positives and negatives. Beginning
with the initial data pre-processing, a reader can follow the steps
provided in the R-language including the subsuming of various
available plug-ins into the resulting software tool. A big
advantage is that R also contains many libraries implementing
machine learning algorithms, so a reader can concentrate on the
principal target without the need to implement the details of the
algorithms her- or himself. To make sense of the results, the book
also provides explanations of the algorithms, which supports the
final evaluation and interpretation of the results. The examples
are demonstrated using realworld data from commonly accessible
Internet sources.
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