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2005
Springer

Multi-Faceted Information Retrieval System for Large Scale Email Archives

11 years 6 months ago
Multi-Faceted Information Retrieval System for Large Scale Email Archives
We profile a system for search and analysis of largescale email archives. The system builds around four facets: Content-based search engine, statistical topic model, automatically inferred social networks and time-series analysis. The facets correspond to the types of information available in email data. The presented system allows chaining or combining the facets flexibly. Results of one facet may be used as input to another, yielding remarkable combinatorial power. In information retrieval point of view, the system provides support for exploration, approximate textual searches and data visualization. We present some experimental results based on a large real-world email corpus.
Jukka Perkiö, Ville H. Tuulos, Wray L. Buntin
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where WEBI
Authors Jukka Perkiö, Ville H. Tuulos, Wray L. Buntine, Henry Tirri
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