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Mining the social web

作者: Matthew A Russell, (Computer scientist)
出版商: Sebastopol, CA : O'Reilly, 2011.
版本/格式:   圖書 : 英語 : 1st ed所有版本和格式的總覽
資料庫:WorldCat
提要:
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email.
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文件類型: 圖書
所有的作者/貢獻者: Matthew A Russell, (Computer scientist)
ISBN: 9781449388348 1449388345
OCLC系統控制編碼: 657600734
注意: Includes index.
描述: xx, 332 pages : illustrations ; 24 cm
内容: Introduction : hacking on Twitter data --
Microformats : semantic markup and common sense collide --
Mailboxes : oldies but goodies --
Twitter : friends, followers, and setwise operations --
Twitter : the tweet, the whole tweet, and nothing but the tweet --
LinkedIn : clustering your professional network for fun (and profit?) --
Google buzz : TF-IDF, cosine similarity, and collocations --
Blogs et al. : natural language processing (and beyond) --
Facebook : the all-in-one wonder --
The semantic web : a cocktail discussion.
責任: Matthew A. Russell.
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Popular social networks such as Facebook and Twitter generate a tremendous amount of valuable data on topics and use patterns. Who's talking to who? What are they talking about? How often are they  再讀一些...

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