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Ted Kwartler - Text Mining in Practice with R - 9781119282013 - V9781119282013
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Text Mining in Practice with R

€ 72.14
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Description for Text Mining in Practice with R Hardback. Num Pages: 312 pages. BIC Classification: PB; UNF. Category: (P) Professional & Vocational. Dimension: 229 x 152. .

A reliable, cost-effective approach to extracting priceless business information from all sources of text

Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. 

Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get ... Read more

  • Identify actionable social media posts to improve customer service  
  • Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more 
  • Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files
  • Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more

Most companies’ data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now. 

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Product Details

Publisher
John Wiley & Sons Inc
Format
Hardback
Publication date
2017
Condition
New
Number of Pages
320
Place of Publication
New York, United States
ISBN
9781119282013
SKU
V9781119282013
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Ted Kwartler
TED KWARTLER is a data science instructor at DataCamp.com. He has worked in analytical and executive roles at DataRobot, Liberty Mutual Insurance and Amazon.com.

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