Inductive Learning of a Knowledge Dictionary for a Text Mining System

Authors:
Shigeaki Sakurai;Yumi Ichimura;Akihiro Suyama;Ryohei Orihara
Affiliations:
-;-;-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 3
Cited 3

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Abstract

A text mining system using domain-dependent dictionaries efficiently analyzes text data. The dictionaries store not only important words for the domains, but also rules composed of some important words. The paper proposes a method that automatically acquires the rules from the text data and their classes by using a fuzzy inductive learning method. Also, in order to infer a class corresponding to new text data, the paper proposes an inference method based on the acquired fuzzy decision tree. Moreover, the efficiency of the methods is verified through numerical experiments using more than 1,000 daily business reports concerning retailing.