| 摘要 |
PROBLEM TO BE SOLVED: To provide a retrieval filtering device filtering a set of documents fit for a retrieval purpose with high accuracy and extracting it. SOLUTION: This retrieval filtering device is provided with: a retrieval part 10 retrieving an upper limit document set, a decision positive example, and a decision negative example of an extraction target; a document analysis part 20 analyzing a syntax and a morpheme of a sentence to each document, and obtaining document analysis results of the upper limit document set, the decision positive example, and the decision negative example of the extraction target; a training document/classification target document selection part 30 obtaining document analysis results in each a classification target document, in each document of a classifying positive example, and in each document of a classifying negative example; a co-occurrence extraction part 40 extracting co-occurrence information with a term expressing the retrieval purpose as a past vector, and generating the past vectors in each classification target document, in each document of the classifying positive example, and in each document of the classifying negative example; a learning part 50 calculating characteristics of the classifying positive example document and the classifying negative example document; and an automatic classification part 60 applying the characteristics of the classifying positive example document and the classifying negative example document to the past vector in each classification target document, and obtaining a classification score in each classification target document. COPYRIGHT: (C)2009,JPO&INPIT
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