Table 1 Summary of assumptions and costs of discrete text categorisation [30]
From: Smart literature review: a practical topic modelling approach to exploratory literature review
Method | |||||
|---|---|---|---|---|---|
Reading | Human coding | Dictionaries | Supervised learning | Topic model | |
A. Assumptions | |||||
Categories are known | No | Yes | Yes | Yes | No |
Category nesting. If any, is known | No | Yes | Yes | Yes | No |
Relevant text features are known | No | No | Yes | Yes | Yes |
Mapping is known | No | No | Yes | No | No |
Coding can be automated | No | No | Yes | Yes | Yes |
B. Costs | |||||
Preanalysis costs | |||||
Person-hours spent conceptualizing | Low | High | High | High | Low |
Level of substantive knowledge | Moderate/high | High | High | High | Low |
Analysis costs | |||||
Person hours spent per text | High | High | Low | Low | Low |
Level of substantive knowledge | Moderate/high | Moderate | Low | Low | Low |
Postanalysis costs | |||||
Person-hours spent interpreting | High | Low | Low | Low | Moderate |
Level of substantive knowledge | High | High | High | High | High |