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KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 5 days ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
ECIR
2010
Springer
15 years 1 months ago
Extracting Multilingual Topics from Unaligned Comparable Corpora
Topic models have been studied extensively in the context of monolingual corpora. Though there are some attempts to mine topical structure from cross-lingual corpora, they require ...
Jagadeesh Jagarlamudi, Hal Daumé III
SIGIR
2006
ACM
15 years 5 months ago
Formal models for expert finding in enterprise corpora
Searching an organization’s document repositories for experts provides a cost effective solution for the task of expert finding. We present two general strategies to expert se...
Krisztian Balog, Leif Azzopardi, Maarten de Rijke
CIKM
2010
Springer
14 years 10 months ago
Decomposing background topics from keywords by principal component pursuit
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 5 days ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai