Text data quality check method, apparatus and device, and computer readable storage medium

Abstract

Embodiments of the invention provide a text data quality check method, apparatus and device, and a computer readable storage medium. The method comprises the steps of obtaining message-level dialoguetext data and conversation-level conversation text data, and performing preprocessing; according to preset quality check points and rules corresponding to the quality check points, marking out the quality check points in the preprocessed dialogue text data and conversation text data; according to the preset rules, integrating quality check point results marked out by a full text search engine andquality check point results marked out by a preset neural network model to serve as a final quality check point result. The quality check results obtained by matching of the full text search engine and the quality check results classified by the preset neural network model can be combined according to the preset rules, so that the text data quality check efficiency and accuracy are improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a text data quality inspection method, device, equipment and computer-readable storage medium. Background technique [0002] During the agent sales process, a large number of dialogue texts may be generated with customers, and these dialogue texts will be stored in the agent sales platform. If you want to analyze the dialogue text, the current method is to randomly extract a certain number of text content, and then analyze it manually. However, the results randomly extracted by the machine may contain a large amount of legal text content. This not only makes the analyst's work inefficient, but also misses a large amount of text content. If the missing text content contains non-compliance (where there are errors), such as major violations, it will cause customer dissatisfaction and bring a lot of impact. Contents of the invention [0003] Embodiments of the pr...

AI Technical Summary

Problems solved by technology

However, the results randomly extracted by the machine may contain a large amount of legal text content

This not only makes the analyst's work inefficient, but also misses a large amount of text content

If the missing text content contains non-compliance (where there are errors), such as major violations, it will cause customer dissatisfaction and bring a lot of impact

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