Computational Text Analysis
Semesters Taught
- Spring 2024, National Chengchi University
Syllabus
Link to syllabus
Course Description
The explosion of digital text represents an unprecedented opportunity for social research! This course surveys text pre-processing and analysis on three levels. Topics include:
- Pre-Processing: cleaning, pre-processing, exploratory analysis
- Analyzing Tokens: vectorization, word-embeddings, tagging and naming
- Analyzing Documents: text classification, sentiment analysis
- Analyzing Corpora: latent topics, semantic networks
Students will examine how text analysis is used to conduct social science. They will also apply text analysis to social science questions. Special attention will be given to generative AI and the ways it is rapidly augmenting text analysis.
No prerequisites and no prior coding experience are required. Sample code will be provided. And as your instructor, I will walk you through each exercise, step-by-step. No fear! Let’s start coding!