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Mining the social web

저자: Matthew A Russell, (Computer scientist)
출판사: Sebastopol, CA : O'Reilly, 2011.
판/형식:   도서 : 영어 : 1st ed모든 판과 형식 보기
데이터베이스:WorldCat
요약:
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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문서 형식:
모든 저자 / 참여자: Matthew A Russell, (Computer scientist)
ISBN: 9781449388348 1449388345
OCLC 번호: 657600734
메모: Includes index.
설명: xx, 332 pages : illustrations ; 24 cm
내용: 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.
책임: 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  더 읽기…

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