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Lecture Notes in Computer Science
In this paper we report on an evaluation of unsupervised labeling of audiovisual content using collateral text data sources to investigate how such an approach can provide acceptable results given requirements with respect to archival quality, authority and service levels to external users. We conclude that with parameter settings that are optimized using a rigorous evaluation of precision and accuracy, the quality of automatic term-suggestion are sufficiently high. Having implemented thedoi:10.1007/978-3-319-24592-8_4 fatcat:vgnc5rne3bfrbdqzsqy2nq77wa