LEADER 00000cam a2200661Ii 4500 
001    970351894 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    170126s2016    enka    o     001 0 eng d 
019    967683624|a967854124 
020    9781782174707|q(electronic bk.) 
020    1782174702|q(electronic bk.) 
029 1  GBVCP|b897168534 
035    (OCoLC)970351894|z(OCoLC)967683624|z(OCoLC)967854124 
037    CL0500000822|bSafari Books Online 
037    7CC0EDE4-356D-4853-BD93-3943309B0722|bOverDrive, Inc.
       |nhttp://www.overdrive.com 
040    UMI|beng|erda|epn|cUMI|dOCLCF|dN$T|dIDEBK|dCOO|dYDX|dNLE
       |dOCLCQ|dTEFOD|dSTF|dOCLCQ|dVT2|dUOK|dCEF|dKSU|dDEBBG|dWYU
       |dUAB|dDST|dOCLCO|dOCLCQ|dOCL|dOCLCO 
049    INap 
082 04 006.3 
082 04 006.3|223 
099    eBook O'Reilly for Public Libraries 
100 1  Kumar, Ashish,|eauthor. 
245 10 Mastering text mining with R :|bmaster text-taming 
       techniques and build effective text-processing 
       applications with R /|cAshish Kumar, Avinash Paul.
       |h[O'Reilly electronic resource] 
264  1 Birmingham, UK :|bPackt Publishing,|c2016. 
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    Includes index. 
520    Master text-taming techniques and build effective text-
       processing applications with R About This Book Develop all
       the relevant skills for building text-mining apps with R 
       with this easy-to-follow guide Gain in-depth understanding
       of the text mining process with lucid implementation in 
       the R language Example-rich guide that lets you gain high-
       quality information from text data Who This Book Is For If
       you are an R programmer, analyst, or data scientist who 
       wants to gain experience in performing text data mining 
       and analytics with R, then this book is for you. Exposure 
       to working with statistical methods and language 
       processing would be helpful. What You Will Learn Get 
       acquainted with some of the highly efficient R packages 
       such as OpenNLP and RWeka to perform various steps in the 
       text mining process Access and manipulate data from 
       different sources such as JSON and HTTP Process text using
       regular expressions Get to know the different approaches 
       of tagging texts, such as POS tagging, to get started with
       text analysis Explore different dimensionality reduction 
       techniques, such as Principal Component Analysis (PCA), 
       and understand its implementation in R Discover the 
       underlying themes or topics that are present in an 
       unstructured collection of documents, using common topic 
       models such as Latent Dirichlet Allocation (LDA) Build a 
       baseline sentence completing application Perform entity 
       extraction and named entity recognition using R In Detail 
       Text Mining (or text data mining or text analytics) is the
       process of extracting useful and high-quality information 
       from text by devising patterns and trends. R provides an 
       extensive ecosystem to mine text through its many 
       frameworks and packages. Starting with basic information 
       about the statistics concepts used in text mining, this 
       book will teach you how to access, cleanse, and process 
       text using the R language and will equip you with the 
       tools and the associated knowledge about different tagging,
       chunking, and entailment approaches and their usage in 
       natural language processing. Moving on, this book will 
       teach you different dimensionality reduction techniques 
       and their implementation in R. Next, we will cover pattern
       recognition in text data utilizing classification 
       mechanisms, perform entity recognition, and develop an 
       ontology learning framework. By the end of the book, you 
       will develop a practical application from the concepts 
       learned, and will understand how text mining can be 
       leveraged to analyze the m... 
588 0  Online resource; title from cover (Safari, viewed January 
       25, 2017). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Text processing (Computer science) 
650  0 R (Computer program language) 
650  0 Data mining. 
650  0 Application software|xDevelopment. 
650  0 Word processing operations. 
650  0 Word processing. 
650  6 Traitement de texte. 
650  6 R (Langage de programmation) 
650  6 Exploration de données (Informatique) 
650  6 Logiciels d'application|xDéveloppement. 
650  7 Word processing operations|2fast 
650  7 Word processing|2fast 
650  7 Application software|xDevelopment|2fast 
650  7 Data mining|2fast 
650  7 R (Computer program language)|2fast 
650  7 Text processing (Computer science)|2fast 
700 1  Paul, Avinash,|eauthor. 
776 08 |iPrint version:|aKumar, Ashish.|tMastering text mining 
       with R.|dBirmingham, UK : Packt Publishing, 2016
       |z178355181X|z9781783551811|w(OCoLC)948336109 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781783551811/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    EBSCOhost|bEBSC|n1445459 
938    ProQuest MyiLibrary Digital eBook Collection|bIDEB
       |ncis34515052 
938    YBP Library Services|bYANK|n13320131 
994    92|bJFN