2013 APhraseMiningFrameworkforRecurs

• (Wang et al., 2013) ⇒ Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, and Jiawei Han. (2013). “A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487631

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222013%22+A+Phrase+Mining+Framework+for+Recursive+Construction+of+a+Topical+Hierarchy
• http://dl.acm.org/citation.cfm?id=2487575.2487631&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; general; keyphrase extraction; keyphrase ranking; network analysis; ontology learning; topic modeling

Abstract

A high quality hierarchical organization of the concepts in a dataset at different levels of granularity has many valuable applications such as search, summarization, and content browsing. In this paper we propose an algorithm for recursively constructing a hierarchy of topics from a collection of content-representative documents. We characterize each topic in the hierarchy by an integrated ranked list of mixed-length phrases. Our mining framework is based on a phrase-centric view for clustering, extracting, and ranking topical phrases. Experiments with datasets from three different domains illustrate our ability to generate hierarchies of high quality topics represented by meaningful phrases.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 APhraseMiningFrameworkforRecurs	Chi Wang Marina Danilevsky Nihit Desai Yinan Zhang Phuong Nguyen Thrivikrama Taula Jiawei Han			A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy				10.1145/2487575.2487631		2013