Model construction method for repeated incoming call analysis and recognition

Abstract

The invention discloses a model construction method for repeated incoming call analysis and recognition. The model construction method comprises the steps: translating voice into text contents, recording the text contents in a single work order table, and judging repeated incoming calls through the analysis of the call contents between a seat person and a customer; judging in combination with theacceptance content and the processing condition in the work order content, and judging that the incoming call is a repeated incoming call when a specified character is contained; judging the main workorder and the associated work order with the same telephone number in the associated work order table as a group of repeated incoming calls, marking the work order as a mother work order, and markingother work orders as child work orders; and extracting the work order of which the information recorded in the work order acceptance content is that ' the associated work order number is ' but is notincluded in the associated work order table. The model construction method introduces the idea of processing the structured work order information and the idea of processing the unstructured text content to repeated incoming call recognition, expands the data range for repeated incoming call recognition, and guarantees the improvement of the model coverage rate and accuracy.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a model building method for analyzing and identifying repeated incoming calls. Background technique [0002] Data mining is also translated as data mining and data mining. It is a step in Knowledge-Discovery in Databases (KDD for short). Data mining generally refers to the process of searching for information hidden in a large amount of data through algorithms. Data mining is often associated with computer science and accomplishes the above goals through methods such as statistics, online analytical processing, intelligence retrieval, machine learning, expert systems (relying on past rules of thumb), and pattern recognition. [0003] In recent years, with the rapid development of power business, the number of customers and business types of power supply companies have increased accordingly. The content of customer calls is complex and changeable. How to dig out useful infor...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problems existing in the related technology, the embodiment of the present invention provides a model construction method for repeated call analysis and identification, which solves the problem that the content of the work order acceptance is text information, the amount of information is large and unstructured, and it needs to be checked manually one by one The problem

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