Text Mining and Visualization: Case Studies Using Open-Source Tools (Hardcover)
暫譯: 文本挖掘與視覺化：使用開源工具的案例研究 (精裝版)

Markus Hofmann, Andrew Chisholm

Text Mining and Visualization: Case Studies Using Open-Source Tools (Hardcover)
  • 出版商: Chapman and Hall/CRC
  • 出版日期: 2015-12-18
  • 售價: $3,200
  • 貴賓價: 9.5 折 $3,040
  • 語言: 英文
  • 頁數: 337
  • 裝訂: Hardcover
  • ISBN: 1482237571
  • ISBN-13: 9781482237573
  • 相關分類: Text-mining

    • 立即出貨 (庫存=1)

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商品描述

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python.

The contributors―all highly experienced with text mining and open-source software―explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that you can follow as part of a step-by-step, reproducible example. You can also easily apply and extend the techniques to other problems. All the examples are available on a supplementary website.

The book shows you how to exploit your text data, offering successful application examples and blueprints for you to tackle your text mining tasks and benefit from open and freely available tools. It gets you up to date on the latest and most powerful tools, the data mining process, and specific text mining activities.

商品描述(中文翻譯)

《文本挖掘與視覺化：使用開源工具的案例研究》提供了使用一些最受歡迎和強大的開源工具（如 KNIME、RapidMiner、Weka、R 和 Python）進行文本挖掘的介紹。

貢獻者們——都是在文本挖掘和開源軟體方面具有豐富經驗的專家——解釋了如何從各種來源收集和處理文本數據，包括書籍、伺服器訪問日誌、網站、社交媒體網站和留言板。每一章都呈現了一個案例研究，您可以作為逐步可重複的範例來跟隨。您也可以輕鬆地將這些技術應用並擴展到其他問題。所有的範例都可以在補充網站上獲得。

本書展示了如何利用您的文本數據，提供成功的應用範例和藍圖，幫助您處理文本挖掘任務並受益於開放且免費的工具。它讓您了解最新和最強大的工具、數據挖掘過程以及特定的文本挖掘活動。

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