CLASSIFICATION MODEL LEARNING METHOD, DEVICE, PROGRAM, AND REVIEW DOCUMENT CLASSIFYING METHOD

摘要

PROBLEM TO BE SOLVED: To adjust a balance of positive examples and negative examples of learning data, and to accurately classify whether documents are review documents or not.;SOLUTION: A learning text obtaining portion 24 adds other kind of review documents which are different kinds from a blog, to a learning document set composed of a plurality of blog documents. A morphological analyzing portion 25 performs morphological analysis on each document of the learning document set. An identity extracting portion 26 extracts identities for indicating characteristics of the documents, about each document of the learning document set. A learning portion 27 leans a classification model for classifying whether input documents are review documents or not, on the vasis of each of the extracted identities about each document of the learning document set.;COPYRIGHT: (C)2013,JPO&INPIT