Text Mining: Applications and Theory (Hardcover)

Michael W. Berry, Jacob Kogan

Text Mining: Applications and Theory (Hardcover)
  • 出版商: Wiley
  • 出版日期: 2010-05-03
  • 定價: $3,210
  • 售價: 8.5 折 $2,729
  • 語言: 英文
  • 頁數: 222
  • 裝訂: Hardcover
  • ISBN: 0470749822
  • ISBN-13: 9780470749821
  • 相關分類: Text-mining
  • 相關翻譯: 文本挖掘 (簡中版)

    • 立即出貨 (庫存=1)

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商品描述

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.
  • Features advances in visual analytics and machine learning along with illustrative examples.
  • Is accompanied by a supporting website featuring datasets.

Applied mathematicians, statisticians, practitioners and students in computer science, bioinformatics and engineering will find this book extremely useful.

商品描述(中文翻譯)

《Text Mining: Applications and Theory》介紹了文本挖掘的最新算法，從學術和工業的角度進行了探討。貢獻者來自多個國家和科學領域，包括大學、工業公司和政府實驗室，展示了機器學習、知識發現、自然語言處理和信息檢索等技術在設計自動文本分析和挖掘的計算模型方面的應用。

本書展示了應用數學、計算機科學、機器學習和自然語言處理等領域的進展如何共同捕捉、分類和解釋單詞及其上下文。正如前言所提到的，當“單詞不足以表達時”，需要使用文本挖掘。

本書具有以下特點：
- 提供了文本挖掘應用中關鍵任務的最新算法和技術，如聚類、分類、異常和趨勢檢測以及流分析。
- 介紹了文本可視化技術的調查，並探討了多語言文本分類問題。
- 討論了與聊天室相關的網絡犯罪問題。
- 展示了視覺分析和機器學習的進展，並提供了實例。
- 附帶有支持網站，提供數據集。

應用數學家、統計學家、計算機科學家、生物信息學家和工程師以及相關領域的學生將會發現本書非常有用。

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