Computer-Assisted Text Analysis, Essex 2012
Computer-Assisted Text Analysis
Essex Summer School
Prof Kenneth Benoit, LSE
Dr. Paul Nulty, LSE
NOTE: Krippendorf 3rd ed. text is now available from the summer school office!
Day 1:Introduction and Issues in Quantitative Text Analysis
- slides
- exercise 1, and french texts
Day 2: Textual Data, Sampling, and Working with Texts
Day 3: Descriptive Inference from Texts
- slides
- exercise 3
- Zipf’s law demo code in Stata; in R(you need your own output .csv files)
Day 4: Research Design Issues
Day 5: Thematic analysis
Day 6: Classical content analysis
- slides
- Exercise 5: In the lab, complete this content analysis exercise: http://www.dpeg.net/MCSphase0B.
Day 7: Automated Dictionary-Based Approaches
Day 8: Text Scaling Models – from Dictionaries to “Word-scoring”
Day 9: Classifiers
- slides; additional slides fromTom Mitchell’s Machine Learning textbook
- exercise 9
Day 10: Parametric Models for Scaling Texts
