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: An evaluation sentence extracting portion 23 extracts evaluation sentences from each of a plurality of blog documents for learning which includes review documents, thereby producing evaluation documents. An identity extracting portion 24 extracts identities about each of the evaluation documents produced from each of the plurality of documents for learning. A learning portion 25 uses each of the extracted identities about the blog documents for learning which are the review documents as identities of positive examples, and each of the extracted identities about the blog documents for learning which are not the review documents as the identities of negative examples, thereby learning a classification model for learning whether the input documents are the review documents or not.