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

Matthew A. Russell




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 | #108869 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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||2 of 2 people found the following review helpful.| Useful and good reference for methodology of social media mining|By Ted Chao|I am quite surprised about the way this book presenting how to do text mining on social media. Those social media with different data format bundled with both structure and unstructured data is hard to process by a common way of text mining. But, with lots of practical source code and example, it makes| |
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.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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