Session 17 Summary: Computational Social Science
- Objective: Overview rather than deep dive
- Studies: Various
- Big data & new data sources
- Big data revolution, New data sources, SQL, Google BigQuery
- Data collection
- APIs (Json etc.)
- Web (screen) scraping
- Machine learning
- Introduction (+ a bit of deep learning)
- Not covered (but important)
- Strategies to work with big data
- Debugging in R (e.g.,
tryCatch()) - Other ML methods
- Q: What did you miss or find most interesting (any of the studies?)?
- Future: Probably focus seminar on data collection or ML
- ML with stronger focus on text analysis