An intelligent operation and maintenance statement similarity matching method based on natural language processing

Abstract

The invention discloses an intelligent operation and maintenance statement similarity matching method based on a natural language processing technology. The method mainly comprises two parts of data processing in knowledge base construction and sentence similarity matching based on deep learning. Compared with the prior art, the method has the advantages that (1) the operation and maintenance management knowledge is subjected to word segmentation by utilizing the specific word library and the HMM to find the new word model, so that the text word segmentation accuracy is improved, and the moreperfect text word library is established; (2) word vectors are trained through a deep learning method, so that the phenomenon of'dimensionality disaster 'represented by the word vectors can be avoided, information of vocabulary contexts can be fully mined, and relations between words can be obtained; And (3) on the basis of the sentence vectors configured with the weights, not only can the importance measure of each word be obtained, but also the information of the sentence vectors can be richer through the combination of the word vectors, and the accuracy of matching on the basis of forming the sentence vectors can be guaranteed through a cosine similarity matching algorithm.

Description

technical field [0001] The invention is an intelligent operation and maintenance statement similarity matching method based on natural language processing, relates to natural language processing technology in the field of financial information, and specifically relates to a knowledge acquisition method for asset management company's non-performing asset operation and maintenance information matching. Background technique [0002] As an integral part of the domestic financial market, the non-performing asset management business plays an important role in maintaining the stability of the financial ecosystem and eliminating systemic risks. It is a stabilizer and fire extinguisher for the smooth operation of the domestic economy. The four major asset management companies (AMCs) initiated and established by the Ministry of Finance are the main body of non-performing asset management. Therefore, carrying out knowledge management of non-performing asset operation and maintenance inf...

AI Technical Summary

Problems solved by technology

[0003] The operation and maintenance knowledge of non-performing asset companies is complicated and complicated. If management and maintenance are not carried out, it will cause negative effects in many aspects

It is mainly reflected in the following aspects: First, as the object of operation and maintenance knowledge management, the knowledge structure is relatively complex, and a large amount of knowledge needs to be repeatedly queried and solved every day, requiring a lot of manual maintenance, which not only results in low efficiency in problem solving, but also wastes resources

Second, as a service caller of other departments, it often causes difficulties in communication between departments, the required answers cannot be obtained, and problems cannot be solved in a short period of time, which has a negative impact on the company

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