Day 1 (09 October 2024; 16:00-19:00)
16:00 Welcome
1: Introduction to Text Analysis and the software
- Course presentation and learning objectives
- Overview of text analysis and its applications in the Social Sciences
- Introduction to Orange Data Mining: installation and configuration
- Getting started with Orange: interface and workflow
19:00 End of Day 1
Day 2 (16 October 2024; 16:00-19:00)
16:00 Welcome
2: Text Preprocessing
- Data collection and text import
- Text cleaning: removing stopwords and special characters
- Tokenization and stemming
- Text normalization and vectorization
19:00 End of Day 2
Day 3 (23 October 2024; 16:00-19:00)
16:00 Welcome
3: Text Analysis
- Introduction to text analysis techniques
- Term frequency-inverse document frequency (TF-IDF) analysis
- Sentiment analysis in texts
- Text data visualization
19:00 End of Day 3
Day 4 (30 October 2024; 16:00-19:00)
16:00 Welcome
4: Practical Projects and Results Presentation
- Developing a practical project: selecting a dataset and applying learned techniques
- Analysis and interpretation of results
- Preparation for project presentations
- Project presentations and group discussions
19:00 Farewell and end of the course
