| 名称 | Mining the social web | |
| 索引号 | TP274/E20114 | |
| 分类号 | TP274 TP274(数据处理、数据处理系统) TP27(自动化系统) TP2(自动化技术及设备) TP(自动化技术计算技术技术) T(工业技术) |
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| 作者 | Russell、 Matthew A.、 computer scientist.、 | |
| 出版社 | Sebastopol, CA : O'Reilly, 2011. | |
| ISBN | ||
| 页数 | xx, 332 p. : ill. ; 24 cm. | |
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| 简介 | ||
| 注解 | Includes index. 摘要 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. 內容 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. | |










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