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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Matthew A. Russell




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 | #102682 in Books |  O'Reilly Media |  2013-10-20 |  2013-10-20 | Original language:English | PDF # 1 |  9.19 x.94 x7.00l,1.61 | File type: PDF | 448 pages

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||4 of 4 people found the following review helpful.| Can't imagine a better organized resource|By chungking|This is more than a "book" - it is a course, and a very well thought through, well supported course at that.

The intro alone is more than worth the cost of admission - the easy installation of a VM saved me hours of dev ops headache I would have had to endure in my Python explorations. And it just gets better fro| |
Mining the social web, again| | When we first published Mining the Social Web, I thought it was one of the most important books I worked on that year. Now that we’re publishing a second edition (which I didn’t work on), I

How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.

  • Employ the Natural Language Toolkit, NetworkX,...

    You can specify the type of files you want, for your device.Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More   |  Matthew A. Russell. I was recommended this book by a dear friend of mine.

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