Toolbox CSS
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Weeks
Overview – week by week
Week 1/2: Kick-off & Setup
Week 2/3: Refresher & RegEx
Week 3/4: Crawling the web
Week 4/5: Dynamic Pages, Forms and APIs
Week 5/6: OCR and Audio Transcription
Week 6/7: Text Preprocessing and Featurization
Week 7/8: Introduction to Text as Data: Bag of Words
Week 8/9: Supervised Machine Learning
Week 9/10: Unsupervised Machine Learning
Week 10/11: Word Embeddings
Week 11/12: Supervised Learning with BERT
Week 12/13: Transfer Learning and LLMs in the Social Sciences
Week 14: Presentation Preparation Week
Week 15: Presentation & Wrap Up Week
CSS Handbook (R Scripts & Videos)
Chapter 1: Preface
Chapter 2: Brief R Recap
Chapter 3:
reticulate
Chapter 4: Introduction to Python for R Users
Chapter 5:
pandas
Chapter 6:
stringr
and RegExes
Chapter 7: Scraping Static Pages with
rvest
Chapter 8:
selenium
Chapter 9: APIs
Chapter 10: OCR with
tesseract
Chapter 11:
OpenAI whisper
Chapter 12: Text Preprocessing and Featurization
Chapter 13: Dictionary-based Analysis
Chapter 14: Supervised Classification
Chapter 15: Unsupervised Machine Learning
Chapter 16: Word Embeddings
Chapter 17: Supervised Classification using
BERT
Chapter 18: Supervised Classification using Local LLMs in R
Chapter 19: Unsupervised Text Classification with BERTopic
General Information
Scientific Computing
A Nice List of Data Sources
Guidelines on AI-Usage
Course Assessment
Anti-Discrimination Policy
On this page
Lecture (Thursday): Text Preprocessing and Featurization
Slides
Practical (Wednesday): Text Preprocessing and Featurization
Week 6/7: Text Preprocessing and Featurization
Lecture (Thursday): Text Preprocessing and Featurization
Slides
Practical (Wednesday): Text Preprocessing and Featurization
CSS Handbook Chapter 12