1. Introduction
1.1. The Quest for Automated Survey Coding
1.2. What this Paper is About
2. Interactive Machine Learning for Automated Verbatim Coding
2.1. Active Learning or Passive Learning?
2.2. Batch Learning or Incremental Learning?
2.4. The Rationale for Interactive Learning
2.5. Choosing the Most Informative Verbatim
3. Experiments
3.2. Learning Algorithms
3.3. Evaluation Measures
3.4. Results
3.5. Efficiency
4. Classifier Reuse via Interactive Learning
5. Related Work
6. Discussion and Conclusions