Using tag semantic network for keyphrase extraction in blogs

Authors:
Lizhen Qu;Christof Müller;Iryna Gurevych
Affiliations:
Technische Universität Darmstadt, Darmstadt, Germany;Technische Universität Darmstadt, Darmstadt, Germany;Technische Universität Darmstadt, Darmstadt, Germany
Venue:
Proceedings of the 17th ACM conference on Information and knowledge management
Year:
2008

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Abstract

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.