| 摘要 |
For the evaluation of a plurality of texts, three correspondence tables of keywords and evaluation sections, namely a priority, a regular and an auxiliary correspondence table, are established, so as to automatically assign the most fitting evaluation section from a plurality of evaluation sections to texts one by one. The text data in the texts are analyzed, the occurrence count of keywords included in the correspondence table is counted, and, processing the priority, regular and auxiliary correspondence table in that order, if there is a keyword included in the correspondence table whose occurrence count is not zero, then the section corresponding to the keyword with the maximum occurrence count is determined as the evaluation section.
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