Loading...
Mining the social web /
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 int...
| Main Author: | |
|---|---|
| Format: | Printed Book |
| Language: | English |
| Published: |
Mumbai :
Shroff,
2019
|
| Edition: | 3 rd ed. |
| Subjects: | |
| Online Access: | https://github.com/ptwobrussell/Mining-the-Social-Web http://twitter.com/#!/SocialWebMining |
| LEADER | 02279cam a22003617a 4500 | ||
|---|---|---|---|
| 008 | 110628s2011 caua 001 0 eng | ||
| 010 | |a 2011282761 | ||
| 015 | |a GBB0A1913 |2 bnb | ||
| 016 | 7 | |a 015635239 |2 Uk | |
| 020 | |a 9789352137695 | ||
| 035 | |a (OCoLC)ocn657600734 | ||
| 042 | |a lccopycat | ||
| 082 | 0 | 4 | |a 006.312 |2 22 |
| 100 | 1 | |a Russell, Matthew A. | |
| 245 | 1 | 0 | |a Mining the social web / |c Matthew A. Russell and Mikhail Klassen |
| 246 | 1 | 4 | |a Mining the social web : |b analyzing data from Facebook, Twitter, LinkedIn, and other social media sites |
| 250 | |a 3 rd ed. | ||
| 260 | |a Mumbai : |b Shroff, |c 2019 | ||
| 300 | |a xx, 400 p. : |b ill. ; |c 24 cm. | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Online social networks. | |
| 650 | 7 | |a Artificial intelligence. |2 sears | |
| 650 | 7 | |a Social networking. |2 sears | |
| 856 | 4 | 2 | |u https://github.com/ptwobrussell/Mining-the-Social-Web |
| 856 | 4 | 2 | |u http://twitter.com/#!/SocialWebMining |
| 906 | |a 7 |b cbc |c copycat |d 2 |e ncip |f 20 |g y-gencatlg | ||
| 942 | |c BK | ||
| 955 | |b xe07 2011-06-28 z-processor to USPL (2 copies) |a th57 2011-06-29 to USPL/STM |i hf07 2011-10-26 2 copies to BCCD | ||
| 999 | |c 349446 |d 349446 | ||
| 952 | |0 0 |1 0 |2 ddc |4 0 |6 006_312000000000000_RUS_M |7 0 |9 403281 |a UL |b UL |c ST1 |d 2020-03-02 |g 656.25 |l 0 |o 006.312 RUS/M |p 102344 |r 2020-03-02 |v 875.00 |y BK | ||