https://www.minimizeuncertainty.com/tags/mueller/ Recent content in Mueller on Uncertainty...Minimized Hugo -- gohugo.io mj514316@domain.com (Michael C Johnson) mj514316@domain.com (Michael C Johnson) Sat, 25 Jan 2020 00:00:00 +0000 https://www.minimizeuncertainty.com/post/distributed-graph-representations-using-the-mueller-report/ Sat, 25 Jan 2020 00:00:00 +0000 mj514316@domain.com (Michael C Johnson) https://www.minimizeuncertainty.com/post/distributed-graph-representations-using-the-mueller-report/ Note: This is part 2 of my series on the Mueller Report. Please take a look at Part 1 if you are interested in how I built the graph. One thing that would be useful when navigating a document (or set of documents) like the Mueller Report is the ability to find things that are ‘like’ other things. For example, if you are trying to follow the thread of a story through the document, you might want to find all the paragraphs that are about similar things to the paragraph you are interested in. https://www.minimizeuncertainty.com/post/graph-visualization-of-the-mueller-report-with-spacy-and-pyvis/ Wed, 19 Jun 2019 00:00:00 +0000 mj514316@domain.com (Michael C Johnson) https://www.minimizeuncertainty.com/post/graph-visualization-of-the-mueller-report-with-spacy-and-pyvis/ One of the most interesting talks I heard at Strata in San Francisco this year was “Towards deep and representation learning for talent search at LinkedIn”. In the talk, Gungor explained how he took advantage of LinkedIn’s economic graph to build a hyper-personalized search engine. Ever since then I’ve had graphs firmly planted in my mind. Not these graphs: Graph More like these: Network Specifically, I’ve been trying to understand how graph network techniques can be applied in various domains, including natural language processing.