Abstract
This paper proposes a new method that analyzes textual data by using key phrase patterns, where the patterns extracts key phrases and the key phrases give features composed of both words and parts of speech to each item of textual data. The patterns are created by using linguistic knowledge but without using knowledge of a task. The patterns are able to be applied to many tasks. The method applies lexical analysis to items of textual data and extracts key phrases using key phrase patterns. Also, the method uses a fuzzy inductive learning algorithm and acquires relationships between key phrases and text classes of the items given by a user. The acquired relationships give new knowledge to user and realize to infer a text class corresponding to a new item of textual data. This paper applies the method to two kinds of e-mail analysis tasks, where the e-mails are collected by our customer center. The results based on the tasks indicate that the method does more valid analysis than the method based on words.
