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"item_title" : "Practical Text Analytics",
"item_author" : [" Murugan Anandarajan", "Chelsey Hill", "Thomas Nolan "],
"item_description" : "Offers an easy-to-follow introduction to text analytics in business and managementHelps business practitioners increase their accessibility of information available in unstructured text data without requiring extensive coding experience or knowledge in the areaIncludes real-world examples, in multiple programming languages including SAS, R, Statistica, Python and QDA Miner",
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Practical Text Analytics : Maximizing the Value of Text Data
Overview
Offers an easy-to-follow introduction to text analytics in business and management
Helps business practitioners increase their accessibility of information available in unstructured text data without requiring extensive coding experience or knowledge in the area
Includes real-world examples, in multiple programming languages including SAS, R, Statistica, Python and QDA Miner
This item is Non-Returnable
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Details
- ISBN-13: 9783030070809
- ISBN-10: 3030070808
- Publisher: Springer
- Publish Date: December 2018
- Dimensions: 9.21 x 6.14 x 0.66 inches
- Shipping Weight: 0.98 pounds
- Page Count: 285
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