Enterprise subject matching method based on part-of-speech tagging of government affair text data

Abstract

The invention discloses an enterprise subject matching method based on part-of-speech tagging of government affair text data. The method comprises the steps: extracting enterprise names in the government affair text data, extracting enterprise naming modes according to known enterprise naming rules, matching the enterprise naming modes, According to the matching result of the enterprise naming modes, carrying out part-of-speech tagging of the government affair text data, carrying out part-of-speech tagging of the government affair text data. according to the enterprise main body matching method, when the to-be-matched government affair data is processed, matching of the enterprise entities can be directly achieved from the government affair text data, the matching efficiency is greatly improved, and intelligent intercommunication of the government affair big data is achieved.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to an enterprise subject matching method based on part-of-speech tagging of government affairs text data. Background technique [0002] With the continuous advancement of national informatization construction, data resource sharing and integration work has been carried out in many regions. However, for government departments, there are still multiple systems working together and using complex interactive methods for data sharing. The status quo is prone to data updates not being timely, and when a system is out of service, the data of other systems is not updated. Enterprise information is the core content of multiple systems. However, due to the large number of enterprise information attributes and the need for changes, such as Enterprise name, the information of an enterprise name has been changed many times, and there may be manual mis-entry scenarios during the cha...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to solve the time-consuming and labor-intensive problem in the existing big data processing of government affairs mainly by manually checking the matching of the two parties’ text enterprise entities. According to the enterprise naming pattern extraction by known enterprise naming rules, the matching of the enterprise naming pattern, according to the matching result of the enterprise naming pattern, determines the matching result of the enterprise subject in the text. When collecting data, the matching of enterprise entities can be realized directly from the government affairs text data, which greatly improves the matching efficiency and realizes the intelligent intercommunication of government affairs big data

Images