PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Multi-Faceted Information Retrieval System for Large Scale Email Archives
Jukka Perkiö, Ville Tuulos, Wray Buntine and Henry Tirri
Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence pp. 557-564, 2005.

Abstract

We profile a system for search and analysis of large-scale 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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:1791
Deposited By:Ville Tuulos
Deposited On:28 November 2005