Patent document abstract-based automatic patent classification method

Abstract

The invention discloses a patent document abstract-based automatic patent classification method. The method comprises the following steps: dictionary construction, generation of various layers and classes or feature vectors of an IPC, patent text feature selection, patent text vectorization, SVM-based classification model construction and to-be-classified patent classification. In the patent text feature selection, the information contained in the patent titles and abstracts are fully utilized so that the calculation amount of the patent feature selection is remarkably decreased; in the calculation process of the patent text vectorization, a TF-IDF calculation method is improved, and the part of speech weights and position weights of words are added, so that the classification effect is further improved; and in the patent classification, a layer-based classification method is adopted, and the method fully utilizes the advantages of an SVM classifier and a KNN classifier, so that the disadvantages that the SVM classifier is overmuch in training and the KNN classifier is large in calculation amount are overcome.

Description

technical field [0001] The invention belongs to the application field of computer analysis technology of patent documents, and in particular relates to a patent classification method using patent abstracts. Background technique [0002] Patent refers to the general term of various types of specifications published by national patent offices or international patent organizations, and is the main body of 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 examination, patent documents are often written in more detail. Compared...

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Problems solved by technology

Under normal circumstances, such a classification method is often too narrow, and it needs to rely on relevant experts to manually read the content of the application. The rapid increase of patent documents increases the manpower and material resources required for manual analysis of patents, and the knowledge of experts is limited. It is also difficult to guarantee the consistency and accuracy of classification

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