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hi everyone Iamp;#39;m Justin Grimmer Iamp;#39;m a professor in the department of political science and a senior fellow at the Hoover institution both of which are at Stanford University in my lecture today Iamp;#39;m going to talk about some content from our new book called text as data a new framework for machine learning and the social sciences I wrote this with Molly Roberts and Brandon Stewart the things Iamp;#39;m going to talk about today are two tasks commonly used across Texas data supervised and unsupervised learning hope you enjoy it um all right so Iamp;#39;m super excited to follow up uh with Brandon Iamp;#39;m gonna get into some more nuts and bolts of whatamp;#39;s going on here uh to provide some specific examples and weamp;#39;ll follow up with these specific examples during the the group exercises to give a real sense about how to do some of these things in a very basic way uh so one of the things I just want to emphasize to start out with is o
