Introduction to automated text analysis for research and evaluation
This short guide introduces three techniques that can be useful for automated analysis of text data in research and evaluation work: sentiment analysis, topic detection, and summarisation. The aim of the guide is to describe what is possible rather than technical details, and each technique is illustrated with a practical application. Data requirements and limitations of automated analysis are also discussed, so that researchers and evaluators can understand how to use these methods effectively and appropriately.