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Method for evaluating patent value based on deep learning

A technology of value evaluation and deep learning, applied in the direction of instruments, biological neural network models, data processing applications, etc., can solve the problems of lack of deep learning methods

Active Publication Date: 2018-08-17
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditionally, researchers use statistical analysis methods or analyze citation relationships to evaluate the value of patents, lacking deep learning methods that combine patent text information, attribute features, and citation relationships

Method used

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  • Method for evaluating patent value based on deep learning
  • Method for evaluating patent value based on deep learning
  • Method for evaluating patent value based on deep learning

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Embodiment Construction

[0015] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0016] The embodiment of the present invention provides a method for patent value evaluation based on deep learning, such as figure 1 As shown, the main process includes:

[0017] Step 1. Obtain the attribute characteristics of the patent and the mutual reference relationship between patents, and obtain the attribute network representation corresponding to the patent through the method of attribute network representation.

[0018] In the embodiment of...

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Abstract

The invention discloses a method for evaluating a patent value based on deep learning, which comprises: obtaining the attribute feature and the reference relationship of a patent, obtaining the attribute network representation of the patent through an attribute network representation method; obtaining the text information of the patent, and obtaining the text representation corresponding to the patent by a multilayer convolutional neural network; and by using the attribute network representation and text representation corresponding to the patent, evaluating and predicting the value of the patent. The method can accurately evaluate the value of the patent.

Description

technical field [0001] The present invention relates to the technical field of patent evaluation, in particular to a method for evaluating patent value based on deep learning. Background technique [0002] With the research and development of various industries, the application of patents has become one of the most important ways to protect intellectual property rights, and it has also become one of the important affairs of the company. In the past few decades, a large number of patents have been applied for, and many companies even apply for thousands of patents every year on average. [0003] For companies, managing numerous patents is an important matter; among them, the evaluation of the value of patents is extremely important. Accurately predicting the value of a patent can help companies protect the patent in advance. In the past research on patent value evaluation, researchers usually regard the number of citations of patents as an important indicator of patent valu...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/18G06N3/04
CPCG06Q10/0639G06Q50/184G06N3/045
Inventor 陈恩红刘淇林弘杰杜东舫武晗
Owner UNIV OF SCI & TECH OF CHINA
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