Journal of the Association for Information 12(12), 767–797. Systems, Himelboim, I., Smith, M., & Shneiderman, B. (2013). Tweeting Apart: Applying Network Analysis to Detect Selective Exposure Clusters in Twitter. Communication Methods and Measures, 7(3–4), 195–223. 4/25 Machine learning/ Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, Text classification/Lab and prospects. 349(6245), Science, day Grimmer, J., & Stewart, B. M. (2013). Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. 21(3), Political Analysis, 267–297. Zamith, R., & Lewis, S. C. (2015). Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis. The ANNALS of the American Academy of 659(1), Political and Social Science, 5/7 The exam period runs Final presentations (Mon) from 8am to 11am. Final project materials due by 11am
Journal of the Association for Information Systems, 12(12), 767–797. Himelboim, I., Smith, M., & Shneiderman, B. (2013). Tweeting Apart: Applying Network Analysis to Detect Selective Exposure Clusters in Twitter. Communication Methods and Measures, 7(3–4), 195–223. 4/25 Machine learning/ Text classification/Lab day Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), Grimmer, J., & Stewart, B. M. (2013). Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis, 21(3), 267–297. Zamith, R., & Lewis, S. C. (2015). Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis. The ANNALS of the American Academy of Political and Social Science, 659(1), 5/7 (Mon) The exam period runs from 8am to 11am. Final presentations Final project materials due by 11am
890.3-Freelon-Spring-18.docx