menu
{ "item_title" : "Text Mining", "item_author" : [" Taeho Jo "], "item_description" : "This popular book, updated as a textbook for classroom use, discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management. The book features exercises and code to help readers quickly learn and apply knowledge.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/175/975/3031759753_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Text Mining|Taeho Jo

Text Mining : Concepts, Implementation, and Big Data Challenge

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This popular book, updated as a textbook for classroom use, discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management. The book features exercises and code to help readers quickly learn and apply knowledge.

This item is Non-Returnable

Details

  • ISBN-13: 9783031759758
  • ISBN-10: 3031759753
  • Publisher: Springer
  • Publish Date: December 2024
  • Dimensions: 9.21 x 6.14 x 1 inches
  • Shipping Weight: 1.81 pounds
  • Page Count: 447

Related Categories

You May Also Like...

    1

BAM Customer Reviews