Specification-based patent classification method

Abstract

The invention discloses a specification-based patent classification method and belongs to the field of text processing and data mining. The method comprises the steps of firstly performing text preprocessing on patent specifications; secondly establishing reverse index files and selecting feature words by utilizing a feature selection method combining information gain with a word frequency; thirdly calculating weights of the feature words by utilizing an improved TF-IDF formula, and creating patent eigenvectors; fourthly establishing a training patent field set; and finally classifying patents by utilizing an optimized KNN classifier. The research provides a new idea for patent literature classification and lays a foundation for further researching patent literature intelligent retrieval and the like.

Description

technical field [0001] The invention belongs to the application of computer analysis technology in patent documents, and in particular relates to a patent classification method using patent specifications. Background technique [0002] A patent is a concrete manifestation of technological innovation and corporate value, and is one of the important carriers, achievements and sources of knowledge development and innovation. Many inventions and creations only appear in patent documents. According to the statistics of the World Intellectual Property Organization (WIPO), 70% to 90% of the world's inventions first appear in patent documents, rather than in other media such as magazines and papers. In addition, in order to protect their own interests, enterprises will apply for patents as early as possible. Patents often concentrate the most active and advanced technologies, including 90% to 95% of the world's technical information. At the same time, for the convenience of examina...

AI Technical Summary

Problems solved by technology

For the patent application that is about to be submitted, its classification number is unknown and needs to be determined. For this, the current common practice is to determine according to the field of the patent description object or the content of the patent, and it is necessary to rely on relevant experts to manually read the application form. With the rapid increase in the number of patent applications (the number of patent applications per year is close to 1 million), this method requires a lot of manpower and material resources, and the limitations of the experts' own knowledge make it difficult to ensure the consistency and accuracy of the classification results

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