LEADER 00000cam a2200817Ii 4500 001 ocn914796877 003 OCoLC 005 20220702022102.0 006 m o d 007 cr unu|||||||| 008 150728s2015 enka ob 001 0 eng d 015 GBB637710|2bnb 016 7 017450696|2Uk 019 913562930|a922914566|a958349780|a958448207|a966398028 |a1008946207|a1166346444 020 9780749474027|q(electronic book) 020 0749474025|q(electronic book) 020 |z9780749474010 020 |z0749474017 035 (OCoLC)914796877|z(OCoLC)913562930|z(OCoLC)922914566 |z(OCoLC)958349780|z(OCoLC)958448207|z(OCoLC)966398028 |z(OCoLC)1008946207|z(OCoLC)1166346444 037 CL0500000621|bSafari Books Online 037 FAA9C67A-F538-40CE-B654-36DF3994D2FA|bOverDrive, Inc. |nhttp://www.overdrive.com 040 UMI|beng|erda|epn|cUMI|dOCLCO|dIDEBK|dEBLCP|dYDXCP|dDEBSZ |dOCLCO|dCOO|dC6I|dDEBBG|dOCLCF|dOCLCO|dNRC|dN$T|dOCLCO |dUPM|dTEFOD|dOCLCQ|dAU@|dSTF|dVT2|dB24X7|dYDX|dLIV|dUKMGB |dOCLCQ|dBRF|dOCLCO 049 RIDW 050 4 HF5415.125 072 7 BUS|x082000|2bisacsh 072 7 BUS|x041000|2bisacsh 072 7 BUS|x042000|2bisacsh 072 7 BUS|x085000|2bisacsh 082 04 658.4/72|223 084 BUS043060|aCOM021030|aBUS043000|2bisacsh 090 HF5415.125 100 1 Struhl, Steven M.,|0https://id.loc.gov/authorities/names/ no93036188|eauthor. 245 10 Practical text analytics :|binterpreting text and unstructured data for business intelligence /|cSteven Struhl. 246 30 Interpreting text and unstructured data for business intelligence 264 1 London, UK ;|aPhiladelphia, PA :|bKogan Page,|c2015. 300 1 online resource (1 volume) :|billustrations. 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file|2rdaft 490 1 Marketing science series 504 Includes bibliographical references and index. 505 0 1 -: Who should read this book? And what do you want to do today?; 2 -: Getting ready: capturing, sorting, sifting, stemming and matching; 3 -: In pictures: Word clouds, wordles and beyond; 4 -: Putting text together: clustering words and documents using words; 5 -: In the mood for sentiment (and counting); 6 -: Predictive models 1: Having words with regressions; 7 -: Predictive models 2: Classifications that grow on trees; 8 -: Predictive models 3: All in the family with Bayes Nets; 9 -: Looking forward and back; A -: Glossary. 520 "Bridging the gap between the marketer who must put text analytics to use and data analysis experts, Practical Text Analytics is an accessible guide to the many advances in text analytics. It explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals. Each chapter includes illustrations and charts, hints and tips, pointers on the tools and techniques, definitions, and case studies/examples. Consultant and researcher Steven Struhl presents the process of text analysis in ways that will help marketers clarify and organize the confusing array of methods, frame the right questions, and apply the results successfully to find meaning in any unstructured data and develop effective new marketing strategies"-- |cProvided by publisher. 520 "Bridging the gap between the marketer who must put text analytics to use and the increasingly rarefied community of data analysis experts, Practical Text Analytics is an accessible guide to the many remarkable advances in text analytics that specialists are discussing among themselves. Instead of being a resource for programmers, a book on theory or an introduction on how to use advanced statistical programs, this daily reference resource cuts through the profusion of jargon, evaluating the strengths and weaknesses of various methods and serving as a guide to what is credible in this fast-moving and often confusing field. Practical Text Analytics provides guidance on the application of text analytics for marketing professionals who must interpret the results and apply them in their campaigns. It presents the process of analysis in ways that people who use the data need to see them, helping marketers to clarify and organize confidently the confusing array of methods, frame the right questions and apply the results successfully to find meaning in any unstructured data and develop powerful new marketing strategies. About the series: The Marketing Science series makes difficult topics accessible to marketing students and practitioners by grounding them in business reality. Each book is written by an expert in the field and includes case studies and illustrations so marketers can gain confidence in applying the tools and techniques and commission external research"--|cProvided by publisher. 588 Description based on print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Marketing|xData processing.|0https://id.loc.gov/ authorities/subjects/sh2008107427 650 0 Big data.|0https://id.loc.gov/authorities/subjects/ sh2012003227 650 0 Business intelligence.|0https://id.loc.gov/authorities/ subjects/sh85018300 650 0 Marketing research.|0https://id.loc.gov/authorities/ subjects/sh85081350 650 7 Marketing|xData processing.|2fast|0https://id.worldcat.org /fast/1010187 650 7 Big data.|2fast|0https://id.worldcat.org/fast/1892965 650 7 Business intelligence.|2fast|0https://id.worldcat.org/fast /842723 650 7 Marketing research.|2fast|0https://id.worldcat.org/fast/ 1010284 650 7 Data Analysis: General.|2bicssc 650 7 BUSINESS & ECONOMICS / Industrial Management.|2bisacsh 650 7 BUSINESS & ECONOMICS / Management.|2bisacsh 650 7 BUSINESS & ECONOMICS / Management Science.|2bisacsh 650 7 BUSINESS & ECONOMICS / Organizational Behavior.|2bisacsh 655 0 Electronic books. 655 4 Electronic books. 776 08 |iPrint version:|aStruhl, Steven M.|tPractical text analytics.|dLondon ; Philadelphia : Kogan Page, 2015 |z9780749474010|w(DLC) 2015016005|w(OCoLC)907146659 830 0 Marketing science series.|0https://id.loc.gov/authorities/ names/no2015160174 856 40 |uhttps://rider.idm.oclc.org/login?url=https:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=1021483|zOnline ebook via EBSCO. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading the EBSCO version of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d202207013|cEBSCO|tEBSCOebooksacademic July NEW 6029 |lridw 994 92|bRID