By Matthew A. Russell
How are you able to faucet into the wealth of social net facts to find who’s making connections with whom, what they’re speaking approximately, and the place they’re positioned? With this increased and carefully revised variation, you’ll the way to collect, research, and summarize information from all corners of the social net, together with fb, Twitter, LinkedIn, Google+, GitHub, electronic mail, web content, and blogs.
• hire the normal Language Toolkit, NetworkX, and different medical computing instruments to mine renowned social sites
• observe complicated text-mining concepts, reminiscent of clustering and TF-IDF, to extract which means from human language information
• Bootstrap curiosity graphs from GitHub by way of gaining knowledge of affinities between humans, programming languages, and coding tasks
• make the most of greater than two-dozen Twitter recipes, provided in O’Reilly’s renowned "problem/solution/discussion" cookbook structure
the instance code for this particular info technology ebook is maintained in a public GitHub repository. It’s designed to be simply available via a turnkey digital computing device that enables interactive studying with an easy-to-use number of IPython Notebooks.