000			01988nam a2200229Ia 4500
003			NULRC
005			20250520102814.0
008			250520s9999 xx 000 0 und d
020			_a9780749474010
040			_cNULRC
050			_aHF 5415.125 .S77 2015
100			_aStruhl, Steven _eauthor
245		0	_aPractical text analytics : _binterpreting text and unstructured data for business intelligence / _cSteven Struhl
260			_aLondon, United Kingdom : _bKogan Page Limited, _cc2015
300			_axiii, 257 pages : _billustrations ; _c23 cm.
365			_bUSD39.93
504			_aIncludes bibliographical references and index.
505			_a1. 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, wordless and beyond -- 4. Putting text together: clustering documents using words -- 5. In the mood for sentiment (and counting) -- 6. Predictive models -- 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.
520			_aBridging 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.
650			_aBUSINESS AND ECONOMICS
942			_2lcc _cBK
999			_c15771 _d15771