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Using tag semantic network for keyphrase extraction in blogs

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Proceedings of the 17th ACM conference on Information and knowledge management, стр. 1381--1382. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1458082.1458290

Аннотация

Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a supervised and an unsupervised approach that extract tags from posts using a tag semantic network. We evaluate the two methods on a blog dataset and observe an improvement in F1-measure from 0.23 to 0.50 when compared to the baseline system.

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