CLASSIFICATION MODEL LEARNING DEVICE, CLASSIFICATION MODEL LEARNING METHOD, AND PROGRAM FOR LEARNING CLASSIFICATION MODEL

摘要

PROBLEM TO BE SOLVED: To provide a technique for learning a classification model for sorting an appropriate learning instance from generated learning instances and accurately identifying whether it contains an event or not.

SOLUTION: The classification model learning device for learning a classification model for extracting, based on a plurality of learning texts each including a text and presence/absence information of a specific event, the specific event from a text determined for the presence/absence of the specific event comprises: an event relevant expression determination part 30 applying an event relevant expression for determining the presence/absence of the specific event to each of the plurality of learning texts to determine the presence/absence of the specific event in the learning text concerned; a learning text extraction part 40 extracting a learning text according to the presence/absence of the specific event determined by the event relevant expression determination part; and a classification model learning part 50 learning the classification model based on the learning text extracted by the learning text extraction part.

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