Ebook: Text Mining: Concepts, Implementation, and Big Data Challenge
Author: Taeho Jo
- Tags: Computers & Technology, Industries, Business & Money, Intelligence & Semantics, AI & Machine Learning, Computer Science, Computers & Technology, Data Mining, Databases & Big Data, Computers & Technology, Internet Groupware & Telecommunications, Networking & Cloud Computing, Computers & Technology, Storage & Retrieval, Network Administration, Networking & Cloud Computing, Computers & Technology, Telecommunications & Sensors, Antennas, Microwaves, Mobile & Wireless, Networks, Radar, Radio, Remote Sensing & GIS, Satellit
- Series: Studies in Big Data
- Year: 2018
- Publisher: Springer
- Edition: 1st ed. 2019
- Language: English
- pdf
This book 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.
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