Hai Liang

Digital Humanities: Methods and Tools (COMM5631)

1. Introduction (week 1) [slides]

• Scopes and purposes of digital humanities
• Introduction and overview of Tools (KNIME) 

2. Automated data collection (week 2-5) [Slides 1] [Slides 2 project explanations]

• APIs [What is an API] [Video Twitter]
• Screen scraping [Video]
• Page navigation & Storage
  
• Automated browser [Selenium] V

3. Data wrangling (week 6-7) [Slides]

• Database [Knime self-learning]
• Data clean [Knime self-learning]
  • Creating new variables, sorting, removing duplicates, and filtering
  • Text manipulation
    
  • Aggregating, reshaping, and merging datasets 

4. Text Mining (week 8-11) 

• Keywords extraction [Slides]
• Topic modeling [Slides]
• Sentiment analysis [Slides]
• Processing Chinese [Slides] [Reading]

5. Data Visualization (week 12-13) [Slides] [Slides]

• General principles & tools [Slides for self-learning]
• Network visualization
• Location visualization