Patent classification method and system based on dual-channel feature fusion and storage medium
A patent classification and feature fusion technology, applied in semantic analysis, special data processing applications, instruments, etc., can solve problems such as huge labor costs, processing efficiency cannot meet actual needs, etc., and achieve the effect of improving accuracy and efficiency
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[0081] Taking the published texts including 5 categories and each category containing 2000 patents as the experimental object (patent documents to be classified), the patent classification method or system provided by the present invention is used for classification.
[0082] In this embodiment, the jieba word segmentation tool can be used to segment the description abstract of the patent document. The labeling standard of the word segmentation tool can be the labeling set of the Institute of Computing Technology, Chinese Academy of Sciences. This labeling set is relatively comprehensive, can provide assistance for natural language processing related work, and is widely used in related research. Perform onehot encoding on the part-of-speech tagging content, and encode it into a vector with a length of 50. For example, the adjective a is marked as [0,0,1,0,0,…], where a corresponds to the third position in the vector.
[0083] In this embodiment, the mapping layer may include a...
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