Overview Objectives Detailed Course Schedule Week 1: Introduction and issues in quantitative text analysis Week 2: Quantitative methods for comparing texts Week 3: Automated dictionary-based approaches Week 4: Machine learning and scaling for texts Week 5: Scaling models Final Assignment References When and where: 16 February, 23 February, 9 March, 16 March, 23 March 2018; Arts Building 3020.
Meeting times 5 February, 12 February, 11 March, 18 March.
Course Handout Short Outline The course surveys methods for systematically extracting quantitative information from political text for social scientific purposes, starting with classical content analysis and dictionary-based methods, to classification methods, and state-of-the-art scaling methods and topic models for estimating quantities from text using statistical techniques.