Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (Hardcover)
暫譯: 非結構化文本數據應用的實用文本挖掘與統計分析（精裝版）

Gary Miner, John Elder IV, Thomas Hill, Robert Nisbet, Dursun Delen, Andrew Fast

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (Hardcover)
  • 出版商: Academic Press
  • 出版日期: 2012-01-25
  • 售價: $3,050
  • 貴賓價: 9.5 折 $2,898
  • 語言: 英文
  • 頁數: 1000
  • 裝訂: Hardcover
  • ISBN: 012386979X
  • ISBN-13: 9780123869791
  • 相關分類: Text-mining

    • 已絕版

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商品描述

The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.

This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities.

-Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible

-Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com

-Glossary of text mining terms provided in the appendix

 

商品描述(中文翻譯)

世界上包含著無法想像的龐大數位資訊，且這些資訊正以越來越快的速度不斷增長。這使得許多過去無法做到的事情變得可能：識別商業趨勢、預防疾病、打擊犯罪等等。如果管理得當，文本數據可以用來解鎖新的經濟價值來源，提供對科學的新見解，並使政府負責任。隨著網際網路的擴展以及我們處理其所包含的非結構化文本的自然能力減弱，文本挖掘在資訊檢索和搜索中的價值將會顯著增加。

這本全面的專業參考書匯集了專業人士高效使用文本挖掘應用和統計分析所需的所有資訊、工具和方法。

《非結構化文本數據應用的實用文本挖掘與統計分析手冊》提供了一個全面的操作參考，指導用戶如何進行文本挖掘和統計分析結果。除了深入檢視核心文本挖掘和連結檢測工具、方法和操作外，本書還探討了先進的預處理技術、知識表示考量和可視化方法。最後，本書探索了文本挖掘和連結檢測在現實世界中的當前關鍵應用，並使用企業、金融、商業智慧、基因組研究和反恐活動等多個領域的實際範例教程。

- 廣泛的案例研究，大多以教程格式呈現，讓讀者能夠「點擊」示例，使用軟體程式，從而以最快的學習方式學會進行文本挖掘分析。
- 通過 Elsevierdirect.com 的伴隨網站提供大量示例、教程、簡報和數據集。
- 附錄中提供文本挖掘術語的詞彙表。

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