Description: About this Item The item is a book Hardback The Author Name is Edward Kwartler The Title is Text Mining in Practice with R Condition New Other Comments Pages Count - 320. Category - Mathematics Product Description - 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 your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You ll learn how to: * 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. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167448178
Price: 95.7 USD
Location: US
End Time: 2025-01-22T12:03:28.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Mathematics
Brand: John Wiley and Sons Ltd
Weight: 0.57
Style: NA
Title: Text Mining in Practice with R
Release Title: Text Mining in Practice with R
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Text Mining in Practice with R
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Text Mining in Practice with R
UPC: 9781119282013
EAN: 9781119282013
ISBN: 9781119282013
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 320 Pages
Publication Name: Text Mining in Practice with R
Language: English
Publisher: Wiley & Sons, Incorporated, John
Subject: Programming Languages / General, Probability & Statistics / General, Databases / Data Mining, Document Management
Publication Year: 2017
Item Height: 0.3 in
Type: Textbook
Item Weight: 20.8 Oz
Item Length: 9 in
Author: Ted Kwartler
Subject Area: Mathematics, Computers
Item Width: 5.9 in
Format: Hardcover
