Industrial internet patent identification method based on multi-instance learning

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...

AI Technical Summary

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 certain subdivision field, especially in the field of industrial Internet, no scholars have proposed a relevant and feasible classification scheme for patent identification.

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