Document evaluation apparatus, document evaluation method, and computer-readable recording medium using missing patterns

Abstract

In order to accurately learn a function for evaluating documents, even in the case where sample documents having missing feature values are included as training data, a document evaluation apparatus is provided with a data classification unit () that classifies a set of sample documents based on missing patterns of a first feature vector, a first learning unit () that uses feature values that are not missing in the first feature vector and evaluation values to learn a first function for calculating a first score which is a weighted evaluation value for each classification, a feature vector generation unit () that computes a feature value corresponding to each classification using the first score, and generates a second feature vector having the computed feature values, and a second learning unit () that uses the second feature vector and the evaluation values to learn a second function for calculating a second score for evaluating documents targeted for evaluation.