COM SCI 1 Lecture Notes - Lecture 2: Binary Classification, Data Mining, Govtrack
Document Summary
Using data mining on social media to make inferences and model ideologies. Checks twitter and other social media to try to answer this question govtrack. us is a record of congressional bills, who sponsored/cosponsored them, who wrote them, and who voted for or against them. Information about current opinions and mass data for interpreting public opinion: other social media. Outline: introduction, ideology detection, //////check the ppt/////, local. Congress voting and roll call data can be used to predict the outcomes of certain votes. Mostly by political science, recently by computer science. It is difficult for pure political scientists to analyze large datasets of text, because they do not have the requisite tech. Trends can be analyzed to find the best time to hold a vote with the desired outcome. The dataset consists of us house and ssenate roll call data from 1990 to 2013. To analyze twitter data, links wree analyzed for various normies, celebs, and politicians.
