Topics in Methodology: Introduction to Text-as-Data (n/a)

Location: Columbia University, n/a

Time: n/a

Semester: n/a

Abstract

Topics include a general approach to descriptive and causal inference using text, classical approaches to content analysis, statistical approaches to content analysis, stylometry, the vector space model, feature extraction, dimension reduction, classifiers, topic models, and selected newer topics.

Level

Upper level course for college juniors, seniors, and graduate students.

Objective

Learn how to conduct applied research using text data.