Mining the social web / Matthew A. Russell.
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.
Record details
- ISBN: 9781449388348 (pbk.)
- ISBN: 1449388345 (pbk.)
- Physical Description: xx, 332 p. : il. ; 24 cm.
- Edition: 1st ed.
- Publisher: Sebastopol, CA : O'Reilly, 2011.
Content descriptions
| General Note: | Incluye índice. |
| Formatted Contents Note: | 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. |
Search for related items by subject
| Subject: | Data mining. Online social networks. Artificial intelligence. Social networking. |
Available copies
- 1 of 1 copy available at IPICYT.
Holds
- 0 current holds with 1 total copy.
Show All Copies
| Location | Call Number / Copy Notes | Barcode | Shelving Location | Status | Due Date |
|---|---|---|---|---|---|
| Biblioteca Ipicyt | QA76.9.D343R8 M5 2011 | LCI00526 | Coleccion General | Available | - |
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| 010 | . | ‡a2011282761 | |
| 020 | . | ‡a9781449388348 (pbk.) | |
| 020 | . | ‡a1449388345 (pbk.) | |
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| 041 | . | ‡aeng | |
| 050 | 0 | 0. | ‡aQA76.9.D343 ‡bR8 M5 2011 |
| 100 | 1 | . | ‡aRussell, Matthew A. ‡c(Computer scientist) |
| 245 | 1 | 0. | ‡aMining the social web / ‡cMatthew A. Russell. |
| 246 | 1 | 4. | ‡aMining the social web : ‡banalyzing data from Facebook, Twitter, LinkedIn, and other social media sites |
| 250 | . | ‡a1st ed. | |
| 260 | . | ‡aSebastopol, CA : ‡bO'Reilly, ‡c2011. | |
| 300 | . | ‡axx, 332 p. : ‡bil. ; ‡c24 cm. | |
| 500 | . | ‡aIncluye índice. | |
| 520 | . | ‡aFacebook, 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. | |
| 505 | 0 | . | ‡aIntroduction : 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. |
| 650 | 0. | ‡aData mining. | |
| 650 | 0. | ‡aOnline social networks. | |
| 650 | 7. | ‡aArtificial intelligence. ‡2sears | |
| 650 | 7. | ‡aSocial networking. ‡2sears | |
| 901 | . | ‡a6824 ‡b ‡c6824 ‡tbiblio ‡sSystem Local | |
