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Creating a collection of metadata records from disparate and diverse sources often results in uneven, unreliable and variable quality subject metadata. Having uniform, consistent and enriched subject metadata allows users to more easily discover material, browse the collection, and limit keyword search results by subject. We demonstrate how statistical topic models are useful for subject metadata enrichment. We describe some of the challenges of metadata enrichment on a huge scale (10 milliondoi:10.1145/1255175.1255248 dblp:conf/jcdl/NewmanHCS07 fatcat:zk5kbwnz6bf63omdkatpkw6rp4