Rating the interest of rules induced from data and within texts
Yves Kodratoff · 2002
Presents an application based on an evaluation of the interestingness of the rules induced from examples using inductive text mining (ITM). The better-known deductive text mining is called information extraction, and amounts to finding instances of a predefined pattern in a set of texts. ITM looks for unknown patterns or rules to discover inside a set of texts. We mainly discuss two of the problems of ITM: building ontologies of concepts, and extracting patterns.