Altering document term vectors for classification
Meenakshi Nagarajan, Amit Sheth, Marcos K. Aguilera, Kimberly Keeton, Arif Merchant, Mustafa Uysal · 2007
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in Ontologies. Preliminary evaluations indicate that the new approach generally improves precision and recall, more so for hard to classify cases and reveals patterns indicating the usefulness of such background knowledge.