Scalable Topical Phrase Mining from Text Corpora

Summary: Introduces scalable topical phrase mining by combining a phrase-mining stage with a partition-based topic model. It outperforms unigram-only methods and costly n-gram models, delivering high-quality topical phrases with negligible cost across corpora. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h2f84bf0b8e3a6837
Venue: VLDB
Year: 2015
Pagerank: 5.1708619e-05
Overall Rank: 9,498 | 36.15%
DOI: 10.14778/2735508.2735519

Incoming Non-self Citations Over Time

Authors

1. Ahmed El-Kishky (University of Illinois Urbana-Champaign)
2. Yanglei Song (University of Illinois Urbana-Champaign)
3. Chi Wang (Microsoft)
4. Clare R. Voss (Army Research Laboratory)
5. Jiawei Han (University of Illinois Urbana-Champaign)

BibTeX Citation

@article{elkishky_vldb15,
        title = {{Scalable Topical Phrase Mining from Text Corpora}},
        author = {El-Kishky, Ahmed and Song, Yanglei and Wang, Chi and Voss, Clare R. and Han, Jiawei},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {3},
        pages = {305},
        doi = {10.14778/2735508.2735519},
        url = {https://doi.org/10.14778/2735508.2735519},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,239	Mining Quality Phrases from Massive Text Corpora	2015	SIGMOD	5.3708698e-05
9,459	TextCube: Automated Construction and Multidimensional Exploration	2019	VLDB	5.1734318e-05
10,815	CRAFT: Corpus Relatedness Analysis Using Fourier Transforms	2026	VLDB	4.9793485e-05
12,278	Building Structured Databases of Factual Knowledge from Massive Text Corpora	2017	SIGMOD	4.9793485e-05
12,343	Automatic Entity Recognition and Typing in Massive Text Data	2016	SIGMOD	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
29	Fast Algorithms for Mining Association Rules	1994	VLDB	0.0005121339
164	Mining Frequent Patterns without Candidate Generation	2000	SIGMOD	0.00027412227

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