Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
| Author | : | |
| Rating | : | 4.19 (671 Votes) |
| Asin | : | 1491985046 |
| Format Type | : | paperback |
| Number of Pages | : | 500 Pages |
| Publish Date | : | 2017-11-13 |
| Language | : | English |
DESCRIPTION:
Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence.
"Can't imagine a better organized resource" according to 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 i. but it would have been good to know that it's non-trivial to set up the I'm just getting started, but it would have been good to know that it's non-trivial to set up the dev environment and that the Virtual Machine requires Oracle's VirtualBox which is incompatible (cannot be installed on the same computer) with the VM system I use (Hyper-V). It looks like the . Great reference and clear, useful examples k polich This is a great tour of the APIs provided by some of the larger social platforms, and helpful commentary about some of the data munging and analysis steps required to do something interesting. The clear and easy to follow examples are further enhanced through the accompanying virtual machin
Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, GitHub, Instagram, and Google+? This new edition helps you discover who’s making connections with social media, what they’re talking about, and where they’re located. You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs.Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, clique detection, and image recognitionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits
He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. About the AuthorMatthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.