Intelligent record auditing method based on text semantic understanding, and electronic equipment

Abstract

The invention provides an intelligent record auditing method based on text semantic understanding and electronic equipment, and the method comprises the steps: obtaining a record document input by a user, and processing the record document to obtain the text content of the record document; calculating the text content to obtain a calculation result of the text content; in response to the calculation result, classifying the text content, and determining the defect type of the text content. According to the method, the existing record 'defect' types are classified based on related technologies such as deep learning OCR and natural language processing text semantic understanding, each type of'defect record' is subjected to record recognition by applying a corresponding algorithm, and finally, manual verification is assisted, so that intelligent recognition of the record text is realized, and the authenticity and reliability of the case records and the witness of the witness are ensured.

Description

technical field [0001] The present disclosure relates to the technical field of text data processing, in particular to an intelligent review method and electronic equipment for transcripts based on text semantic understanding. Background technique [0002] A transcript is a legal document that truthfully records the facts of a case and is produced by the police of the public security organ when they investigate and collect evidence from victims (witnesses) and suspects in accordance with the law. Conducting comprehensive research and judgment on evidence and interrogation transcripts in accordance with regulations and disciplines, and reviewing and checking are the basic guarantees for the realization of fairness and justice in individual cases. As important evidence in a case, witness testimony and interrogation transcripts often affect the final characterization and quality of the case. Due to the subjective factors of the interrogator, the recorder, and the interrogator,...

AI Technical Summary

Problems solved by technology

[0003] However, due to objective factors such as the large number of transcripts, complex logic, and many details that need to be checked, there are often situations where manual audits of transcripts are missed.

At present, the research and development of the intelligent recognition system for transcripts is still at a relatively early stage, and related products are still relatively scarce.

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