Automatic keyword extraction for learning object repositories



The paper describes experiments in metadata generation for learning object repositories. Specifically, we present several methods for automatic keyword extraction and evaluate them on a collection of learning objects from an undergraduate history course. The results suggest that automatic keyword extraction is a viable solution for suggesting terms and phrases for metadata annotation.