Automatic keyword extraction for learning object repositories

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Abstract

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.

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