000 02439nam a22002297a 4500
999 _c1784
_d1784
005 20220309152416.0
008 220309b ||||| |||| 00| 0 eng d
020 _a9780749474010
082 _a658.472
_bSTR
100 _aStruhl,Steven
_94700
245 _aPractical text analytics: interpreting text and unstructured data for business intelligence
260 _bKogan Page Limited
_aLondon
_c2015
300 _axiii, 257 p.
365 _aGBP
_b32.99
504 _aChapter - 01: Who should read this book? And what do you want to do today?;Chapter - 02: Getting ready: capturing, sorting, sifting, stemming and matching;Chapter - 03: In pictures: word clouds, wordles and beyond;Chapter - 04: Putting text together: clustering documents using words;Chapter - 05: In the mood for sentiment (and counting) ;Chapter - 06: Predictive models 1: having words with regressions;Chapter - 07: Predictive models 2: classifications that grow on trees;Chapter - 08: Predictive models 3: all in the family with Bayes Nets;Chapter - 09: Looking forward and back
520 _aAbout the book In an age where customer opinion and feedback can have an immediate, major effect upon the success of a business or organization, marketers must have the ability to analyze unstructured data in everything from social media and internet reviews to customer surveys and phone logs. Practical Text Analytics is an essential daily reference resource, providing real-world guidance on the effective application of text analytics. The book presents the analysis process so that it is immediately understood by the marketing professionals who must use it, so they can apply proven concepts and methods correctly and with confidence. By decoding industry terminology and demonstrating practical application of data models once reserved for experts, Practical Text Analytics shows marketers how to frame the right questions, identify key themes and find hidden meaning from unstructured data. Readers will learn to develop powerful new marketing strategies to elevate customer experience, solidify brand value and elevate reputation. Online resources include self-test questions, chapter review Q&A and an Instructor's Manual with text sources and instructions.
650 _aMarketing--Data processing
_95860
650 _aMarketing research
_9276
650 _aBusiness intelligence
_9364
650 _aMarketing--Statistical methods
_95861
942 _2ddc
_cBK