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Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software te
Text Data Mining
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This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a n
Text Mining with R
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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
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
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"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things
Text Mining
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Pages: 222
Authors: Michael W. Berry
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Type: BOOK - Published: 2010-02-25 - Publisher: John Wiley & Sons

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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributo