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  1. Home
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  3. The Text Mining Handbook
  • Cited by 554
Publisher:
Cambridge University Press
Online publication date:
August 2009
Print publication year:
2006
Online ISBN:
9780511546914
DOI:
https://doi.org/10.1017/CBO9780511546914
Subjects:
Knowledge Management, Databases and Data Mining, Computer Science, Computational Statistics, Machine Learning and Information Science, Statistics and Probability
Information

Book description

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

Reviews

' … buy the book. This book is definitely worth having in your book shelf as a handy reference.'

Source: IAPR Newsletter

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