Text mining aims to find hidden regularities/associations in textual data. Even though it might be conceived as a knowledge discovery technology quite opposite to information retrieval -- a user-initiated information seeking technology, we will show that text mining can also be used to facilitate information retrieval by providing aggregate information as a content-based overview of the underlying textual database. We propose a notion of significant terms and dependencies to capture the textual contents.
By: Tohru Nagano, Tetsuya Nasukawa, Kohichi Takeda and Matthew Hurst
Published in: RT0372 in 2002
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