A NLP-based method for automatic extraction and analysis of enterprise supply relationship

A technology of automatic extraction and analysis method, applied in the field of intelligent analysis, can solve the problems of no structure, scattered content, time-consuming and laborious, etc., to achieve the effect of improving the recognition effect

Active Publication Date: 2019-02-22
QINGDAO TECHNOLOGICAL UNIVERSITY
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  • Claims
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AI Technical Summary

Problems solved by technology

There are currently more than 3,000 domestic listed companies. These companies publish a large number of text information such as announcements, semi-annual reports, and annual reports every year. The content is scattered, the data is not concentrated, and it is unstructured information. Traditional named entity recognition Most of the methods for extracting and entity relationship use manual data processing, which is time-consuming and labor-intensive, and is not suitable for mining the annual report text of listed companies

Method used

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  • A NLP-based method for automatic extraction and analysis of enterprise supply relationship
  • A NLP-based method for automatic extraction and analysis of enterprise supply relationship
  • A NLP-based method for automatic extraction and analysis of enterprise supply relationship

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Embodiment

[0057] The text selected in this example is "Antenna and filters, the main products of Dongshan Precision's communication business, are the core components of base station construction. The main customers include Huawei, Ericsson and other world-leading mobile communication network equipment manufacturers.", the sentence comes from Dongshan Precision The specific process of automatic extraction and analysis of enterprise supply relationship is as follows:

[0058] The first stage, the sentence screening stage, firstly judges whether the text contains the words in the relationship indicating thesaurus, and the text contains the relationship indicating word "customer", so it is considered that the subject of the text is related to the supply relationship of the enterprise, and then the text is processed. Word segmentation, part-of-speech tagging and dependency syntax analysis, and company name recognition and product name recognition; the specific process of company name recognit...

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Abstract

The invention belongs to the technical field of intelligent analysis, the invention relates to a NLP-based method for automatic extraction and analysis of enterprise supply relationship, including company name identification, product name recognition and supply-demand relationship judgment, improves the Stanford NER toolkit with rules and dictionaries, the recognition effect of the tool to the company abbreviation is effectively improved. Besides, multiple features are integrated into a conditional random field model and in combination with the rule post-processing, the product category wordsin the text can be identified effectively, which can effectively and accurately obtain the supply-demand relationship information between enterprises from the text, and provide valuable reference information for investors and consumers. The invention has important theoretical research and practical application value.

Description

Technical field: [0001] The invention belongs to the technical field of intelligent analysis, and relates to an automatic extraction and analysis method of enterprise supply relationship based on NLP (language technology platform). Background technique: [0002] With the deepening of economic globalization and the continuous development of cooperation between enterprises, the manufacturing industry has long since broken away from the era of closed doors. In modern industry, the parts and production processes of a certain end product often come from different countries and enterprises. , which leads to the concept of supply chain and supply chain management. As an important part of enterprise operation, supply chain management plays an extremely important role in the enterprise. If an enterprise wants to grow and develop, a good supply chain is essential, and a supply chain is actually composed of supply relationships. consist of. [0003] For modern enterprises, the relati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28G06F17/27
CPCG06F40/211G06F40/295
Inventor 王金龙杨传龙房斐斐张云天
Owner QINGDAO TECHNOLOGICAL UNIVERSITY
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