Audit plan data generation method, device and equipment based on text mining

Abstract

The invention relates to an audit plan data generation method, device and equipment based on text mining. The method comprises the following steps: acquiring professional dictionary data of the auditing field and search data of the auditing field associated with the professional dictionary data of the auditing field, and performing text mining processing on the professional dictionary data of the auditing field to generate candidate word data of the auditing field. And based on the audit candidate word data and the audit field search data, training to obtain an audit field word vector. And obtaining an audit domain ontology knowledge framework, constructing an audit knowledge graph based on the audit domain ontology knowledge framework, determining an audit direction according to the audit domain word vector and the audit knowledge graph, and generating audit plan data associated with the audit direction. By adopting the method, newly added vocabularies in search data in the auditing field can be concerned in time, missing of newly added risk points is avoided, vocabularies and associated data in various aspects of the auditing field are comprehensively considered, and the accuracy of the auditing direction and the rationality of auditing plan data are improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, device and device for generating audit plan data based on text mining. Background technique [0002] With the development of computer technology and the wide application of Internet applications, a large amount of text data of different types has appeared in people's actual work and life. Due to the huge amount of text data, its formats and types are also different. For example, auditing in the field of auditing Text information, of various types, can include documents, archives, reports, microblogs, news, emails, and web texts. For various types of audit text data, corresponding audit plans need to be further implemented to identify possible risk situations or unreasonable problems in the audit text data. [0003] Traditionally, according to the accumulation of audit experience of different audit staff in long-term audit practice, a conventional audit...

AI Technical Summary

Problems solved by technology

Therefore, the traditional audit plan designation method still needs to consume a lot of manpower and material resources for screening, and at the same time, it is easy to ignore the audit risk points that are newly added or do not belong to the inherent experience, resulting in the low rationality of the generated audit plan.

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