A phrase mining framework for recursive construction of a topical hierarchy

Chi Wang; Marina Danilevsky; Nihit Desai; Yinan Zhang; Phuong Nguyen; Thrivikrama Taula; Jiawei Han

doi:10.1145/2487575.2487631

A phrase mining framework for recursive construction of a topical hierarchy

Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 different domains illustrate our ability to generate hierarchies of high quality topics represented by meaningful phrases.

Original language	English (US)
Title of host publication	KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Editors	Rajesh Parekh, Jingrui He, Dhillon S. Inderjit, Paul Bradley, Yehuda Koren, Rayid Ghani, Ted E. Senator, Robert L. Grossman, Ramasamy Uthurusamy
Publisher	Association for Computing Machinery
Pages	437-445
Number of pages	9
ISBN (Electronic)	9781450321747
DOIs	https://doi.org/10.1145/2487575.2487631
State	Published - Aug 11 2013
Event	19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 - Chicago, United States Duration: Aug 11 2013 → Aug 14 2013

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volume	Part F128815

Other

Other	19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013
Country	United States
City	Chicago
Period	8/11/13 → 8/14/13

Keywords

Keyphrase extraction
Keyphrase ranking
Network analysis
Ontology learning
Topic modeling

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1145/2487575.2487631

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Cite this

Wang, C., Danilevsky, M., Desai, N., Zhang, Y., Nguyen, P., Taula, T., & Han, J. (2013). A phrase mining framework for recursive construction of a topical hierarchy. In R. Parekh, J. He, D. S. Inderjit, P. Bradley, Y. Koren, R. Ghani, T. E. Senator, R. L. Grossman, & R. Uthurusamy (Eds.), KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 437-445). [2487631] (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. Part F128815). Association for Computing Machinery. https://doi.org/10.1145/2487575.2487631

A phrase mining framework for recursive construction of a topical hierarchy. / Wang, Chi; Danilevsky, Marina; Desai, Nihit; Zhang, Yinan; Nguyen, Phuong; Taula, Thrivikrama; Han, Jiawei.

KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ed. / Rajesh Parekh; Jingrui He; Dhillon S. Inderjit; Paul Bradley; Yehuda Koren; Rayid Ghani; Ted E. Senator; Robert L. Grossman; Ramasamy Uthurusamy. Association for Computing Machinery, 2013. p. 437-445 2487631 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. Part F128815).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, C, Danilevsky, M, Desai, N, Zhang, Y, Nguyen, P, Taula, T & Han, J 2013, A phrase mining framework for recursive construction of a topical hierarchy. in R Parekh, J He, DS Inderjit, P Bradley, Y Koren, R Ghani, TE Senator, RL Grossman & R Uthurusamy (eds), KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining., 2487631, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. Part F128815, Association for Computing Machinery, pp. 437-445, 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, United States, 8/11/13. https://doi.org/10.1145/2487575.2487631

Wang C, Danilevsky M, Desai N, Zhang Y, Nguyen P, Taula T et al. A phrase mining framework for recursive construction of a topical hierarchy. In Parekh R, He J, Inderjit DS, Bradley P, Koren Y, Ghani R, Senator TE, Grossman RL, Uthurusamy R, editors, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2013. p. 437-445. 2487631. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). https://doi.org/10.1145/2487575.2487631

Wang, Chi ; Danilevsky, Marina ; Desai, Nihit ; Zhang, Yinan ; Nguyen, Phuong ; Taula, Thrivikrama ; Han, Jiawei. / A phrase mining framework for recursive construction of a topical hierarchy. KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. editor / Rajesh Parekh ; Jingrui He ; Dhillon S. Inderjit ; Paul Bradley ; Yehuda Koren ; Rayid Ghani ; Ted E. Senator ; Robert L. Grossman ; Ramasamy Uthurusamy. Association for Computing Machinery, 2013. pp. 437-445 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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