Text Mining: From Ontology Learning to Automated Text Processing Applications (Theory and Applications of Natural Language Processing)

  • 出版商: Springer
  • 出版日期: 2015-01-14
  • 售價: $5,200
  • 貴賓價: 9.5$4,940
  • 語言: 英文
  • 頁數: 238
  • 裝訂: Hardcover
  • ISBN: 3319126547
  • ISBN-13: 9783319126548
  • 相關分類: Text-mining
  • 海外代購書籍(需單獨結帳)

商品描述

This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching.

The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.

商品描述(中文翻譯)

本書包含一系列文章,詳細說明了文本挖掘的方法論,描述了在文本挖掘框架下建立詞彙資源的過程,並將文本挖掘應用於自然語言處理(NLP)的各種任務中。分析大量文本數據是建立詞典和本體論等詞彙資源的先決條件,同時也直接應用於歷史、醫療保健和移動應用等領域的自動化文本處理。本書提供了關於文本挖掘方法的最新進展,並反映了在自動建立大型詞彙資源方面的最新成就。它針對已經進行文本挖掘的研究人員以及希望豐富其方法庫的人。選定的文章可用於支持研究生級別的教學。

本書適合已完成計算語言學、量化語言學、計算機科學和計算人文學的本科學習的所有讀者。它假設讀者具備計算機科學和語料庫處理的基本知識,以及統計學知識。