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Practical Text Mining With Perl,New
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Provides Readers With The Methods, Algorithms, And Means To Perform Text Mining Tasksthis Book Is Devoted To The Fundamentals Of Text Mining Using Perl, An Opensource Programming Tool That Is Freely Available Via The Internet (Www.Perl.Org). It Covers Mining Ideas From Several Perspectivesstatistics, Data Mining, Linguistics, And Information Retrievaland Provides Readers With The Means To Successfully Complete Text Mining Tasks On Their Own.The Book Begins With An Introduction To Regular Expressions, A Text Pattern Methodology, And Quantitative Text Summaries, All Of Which Are Fundamental Tools Of Analyzing Text. Then, It Builds Upon This Foundation To Explore: Probability And Texts, Including The Bagofwords Model Information Retrieval Techniques Such As The Tfidf Similarity Measure Concordance Lines And Corpus Linguistics Multivariate Techniques Such As Correlation, Principal Components Analysis, And Clustering Perl Modules, German, And Permutation Testseach Chapter Is Devoted To A Single Key Topic, And The Author Carefully And Thoughtfully Introduces Mathematical Concepts As They Arise, Allowing Readers To Learn As They Go Without Having To Refer To Additional Books. The Inclusion Of Numerous Exercises And Workedout Examples Further Complements The Book'S Studentfriendly Format.Practical Text Mining With Perl Is Ideal As A Textbook For Undergraduate And Graduate Courses In Text Mining And As A Reference For A Variety Of Professionals Who Are Interested In Extracting Information From Text Documents.
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