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Host: Institute for Mathematics and its Applications
Homepage: http://www.ima.umn.edu/reactive/spring/tm.html
Email: staff@ima.umn.edu
Organizers: James Allan, Vipin Kumar, Paul Thompson
Description:
Text mining is a new interdisciplinary field. It is related to data mining, a relatively mature technology, typically applied to the
analysis of data stored in structured databases. Text mining seeks to apply some of the same types of analysis, such as
knowledge discovery, or trend analysis, to unstructured textual data, that data mining applies to structured data. Text mining
combines the disciplines of data mining, information extraction, information retrieval, text categorization, probabilistic modeling,
linear algebra, machine learning, and computational linguistics to discover structure, patterns, and knowledge in large textual
corpora.
Advances in computational resources and new statistical algorithms for text analysis have helped text mining develop as a field. This 2-day workshop is intended to bring together leading researchers in this new field, representing its various constituencies, including: computer science, mathematics and statistics, information retrieval, and artificial intelligence. There is not yet a consensus within the text mining community as to exactly what text mining is. One of the purposes of this workshop will be to help the community come closer to such a consensus. More generally, it will provide an opportunity to share research among the diverse groups represented at the workshop.
Date received: February 02, 2000
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