Text Mining with Machine Learning: Principles and Techniques

Zizka, Jan, Darena, Frantisek, Svoboda, Arnost

Text Mining with Machine Learning: Principles and Techniques
  • 出版商: CRC
  • 出版日期: 2019-11-11
  • 售價: $7,330
  • 貴賓價: 9.5 折 $6,964
  • 語言: 英文
  • 頁數: 400
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1138601829
  • ISBN-13: 9781138601826
  • 相關分類: Text-mining、Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

Categorization and meaning analysis of big textual datasets found on the internet currently presents a challenge for intelligent automatic processing. By combining collections of training samples, knowledge which is not immediately visible can be revealed. This book presents modern methods of text-mining using effective, time-tested machine-learning algorithms. It includes a comprehensive overview of machine learning-based methods applied to knowledge discovery and points out their pros and cons. Applications of the algorithms are also demonstrated using the R language and using real-world data from common accessible internet sources, such as social networks.

作者簡介

Jan Zizka, is Associate Professor and senior scientist, a founder of the Natural Language Processing and TextMining Group at the Department of Informatics, Mendel University in Brno, Czech Republic. He is author of approx. 90 peer-to-peer review publications in international scientific journals, conference proceedings, and monographs. He is a member of editorial board of several international journals and editor-in-chief of three International Journals in computer science. He deals with machine learning and its applications particularly to the natural language processing and text mining.

Frantisek Dařena, is Associate Professor and Head of the Natural Language Processing and Text Mining Group atthe Department of Informatics, Mendel University in Brno, Czech Republic. He is author of several publications in international scientific journals, conference proceedings, and monographs, and a member of the editorial board of international journals, as well as editor-in-chief of International Journal in Foundations of Computer Science & Technology. His research areas include intelligent data processing, machine learning, and text/data mining.

Arnost Svoboda, is teacher and researcher at the Department of Applied Mathematics and Computer Science, Masaryk University of Brno, Czech Republic. He is a very experienced systemprogrammer and expert in many different software tools and programming languages. He is an external memberof the Natural Language Processing and Text Mining Group at the Department of Informatics, Faculty ofBusiness and Economics, Mendel University in Brno, Czech Republic, participating on research and its softwareimplementation.

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