Performance Measurement Framework for Hierarchical Text Classification.

Discusses hierarchical text classification for electronic information retrieval and the measures used to evaluate performance. Proposes new performance measures that consist of category similarity measures and distance-based measures that consider the contributions of misclassified documents, and explains a blocking measure that identifies non-performing classifiers. (Author/LRW)