Industrial internet patent identification method based on multi-instance learning

A technology of industrial Internet and multi-instance learning, applied in the field of data mining, to overcome the problem of high computing cost, avoid the problem of ambiguity, and improve the effect of accuracy

Pending Publication Date: 2022-04-12
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, most of the current research on the classification of Chinese patent texts mainly focuses on the classification of patent classification symbols. In a certai

Method used

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  • Industrial internet patent identification method based on multi-instance learning
  • Industrial internet patent identification method based on multi-instance learning
  • Industrial internet patent identification method based on multi-instance learning

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0028] Data source acquisition: The patent data involved in this experiment was obtained through the Innojoy patent search engine, and at the same time cooperated with platforms such as Thomson Innovation patent search and analysis system, Innography patent search and analysis system, SooPAT patent search and analysis system developed by Thomson Reuters, search time The period is from January 1, 2000 to September 30, 2020. Through keyword search, 69658 patent ...

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Abstract

The invention relates to an industrial internet patent identification method based on multi-instance learning, which utilizes a natural language processing technology to segment summary information in a patent into sentences, and utilizes a text subject sentence extraction algorithm based on a sentence relation graph to extract subject sentences in a summary, so that the calculation overhead can be effectively reduced. Meanwhile, by combining the topic sentences extracted from the title and the abstract, the patents are converted into sentence packages, each patent is regarded as a package, and each sentence in the package is regarded as an example. And finally, the category of the new sample is predicted by adopting a K Neighbor Networks (KNN) algorithm (K Neighbor Networks, KNN). By means of the method, the industrial internet patent recognition effect can be effectively improved, the manual review cost is greatly reduced, and the method has very important significance on patent retrieval.

Description

technical field [0001] The invention relates to an industrial Internet patent identification method based on multi-instance learning, which belongs to the technical field of data mining. Background technique [0002] As a new thing born out of the integration and development of my country's new generation of network information technology and modern industry, the Industrial Internet is a key support for the realization of all elements, the entire industry chain, and the entire value chain in the field of manufacturing and production. The Industrial Internet is an important infrastructure that promotes the digitization, networking, and intelligent development of my country's industrial economy. It is also the core carrier for Internet technology to leap from the consumption field to the production field, and from the virtual economy to the real economy. Compared with the traditional Internet industry, the development of the industrial Internet has more industrial characterist...

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Application Information

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IPC IPC(8): G06F40/258G06F40/289G06K9/62
Inventor 陈信俞东进蔡鑫鑫徐忆航
Owner HANGZHOU DIANZI UNIV
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