CPC G06F 16/35 (2019.01) [G06F 16/93 (2019.01); G06F 40/268 (2020.01)] | 15 Claims |
1. A document search system comprising a database and a hardware processor,
wherein the database is configured to store database document data,
wherein the hardware processor is configured to:
receive first document data and second document data;
extract a plurality of terms from the first document data;
weight at least one of the plurality of extracted terms on a basis of the second document data;
calculate a similarity of the database document data to the first document data on a basis of the at least one weighted term; and
output the calculated similarity,
wherein, after the plurality of terms are extracted, texts included in a document represented by the second document data are classified using machine learning,
wherein first learning document data is input to a processing portion of the hardware processor configured to perform the machine learning,
wherein the first document data represents a scope of claims of a patent application,
wherein the second document data represents a written opinion against a reason for refusal of the patent application, and
wherein the second document data represents a document which includes content described in a document represented by the first document data.
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