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Text Mining Applications and Theory,Michael W.Berry,Jacob Kogan by Michael W. Berry, Jacob Kogan is a nonfiction available to read on EtoBox.

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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning, and natural language processing can collectively capture, classify, and interpret words and their contexts. As suggested in the preface, text mining is needed when “words are not enough.” This book: Provides state-of-the-art algorithms and techniques for critical tasks in text mining applications, such as clustering, classification, anomaly and trend detection, and stream analysis. Presents a survey of text visualization techniques and looks at the multilingual text classification problem. Discusses the issue of cybercrime associated with chatrooms.

Who reads Text Mining Applications and Theory,Michael W.Berry,Jacob Kogan?

Author

Michael W. Berry, Jacob Kogan

Publisher

John Wiley & Sons; Wiley

Published

2010

Language

EN

ISBN

9780470749821

Category

nonfiction

Subjects

Mathematics, Science, Computer Science

Updated

2026-03-24