An incomplete patent automatic indexing method

Abstract

The invention discloses an incomplete patent automatic indexing method, and belongs to the field of big data artificial intelligence deep learning. The method comprises the following steps: S1, selecting a patent data source, and reading patent abstract, claims, instructions and other related text data; S2, carrying out vector training by adopting Word2ver and GloVe word vector technologies to generate a lexicon; S3, preprocessing the data by adopting an ISRI word stem extractor; S4, extracting patent features of the experiment set by using CNN and LSTM respectively in combination with the word bank, establishing a feature model, and verifying and selecting the word bank and the feature model; And S5: indexing patents in the test set one by one in combination with the selected word libraryand the feature model. The invention provides an incomplete patent automatic indexing method, which can accurately, comprehensively and quickly finish a patent classification task, is beneficial to construction of an intelligent analysis decision system of patent big data, and is beneficial to effective integration, deep analysis and mining of patent resources and innovation research of an application mode.

Description

technical field [0001] The invention relates to a patent automatic indexing method, which belongs to the field of big data artificial intelligence, and is especially suitable for large-scale patent indexing processing. Background technique [0002] Looking at the world today, countries attach great importance to the cultivation and development of strategic emerging industries, strive to seize opportunities in a new round of higher-level competition, and actively create and effectively use intellectual property rights. Especially in the field of biomedical industry, intellectual property big data has become the focus of competition among countries. Usually, big data usually contains a wealth of knowledge and value. Through in-depth analysis and mining, it can provide effective precise scientific analysis and decision support for various industries or fields. As an important carrier of intellectual property rights, patents have become an important strategic resource of big da...

AI Technical Summary

Problems solved by technology

Although these methods can achieve the purpose of indexing and classifying patents to a certain extent, the manual indexing method is inefficient and the cost of human resources is too high, while the strong strategic indexing method is limited by the knowledge of domain experts, accuracy and Duplicate check rate often performs very poorly

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