Recognition method, system and computing device of work order type based on big data

Abstract

The present invention relates to a method, system, and computing device for identifying work order types based on big data. The method includes: obtaining work orders to be classified, performing correlation analysis on structured fields in the work orders to be classified to obtain a first correlation coefficient; If the first correlation coefficient exceeds the preset threshold, remove the corresponding structured field in the work order to be classified to obtain the target work order to be classified; extract the first feature word of the target work order to be classified, and use the pre-built The naive Bayesian model calculates the corresponding probabilities when the types of work orders to be classified are different work order types under the condition that the first feature word appears; the type of work orders to be classified is judged according to the probabilities corresponding to different work order types. By adopting the method, the occupation of the server storage space and the reduction of the operation efficiency of the business system caused by a large number of work orders can be avoided.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method, system and computing device for identifying work order types based on big data. Background technique [0002] With the continuous improvement of the digitization of telecommunication networks, large-scale work orders have been formed in telecommunication services. There are more and more types of business work order designs, and it is becoming more and more difficult to identify work order types. At this stage, manual identification of work order types The speed cannot keep up with the rapid growth of business, and the accumulation of work orders takes up a lot of storage space on the server, which directly leads to a decrease in the operating efficiency of the business system. [0003] Therefore, relying on the traditional method of manually identifying work order types cannot meet the needs of telecom business growth in the new era, and new means need ...

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a big data-based work order type identification method, system, and computing device for the problem that the accumulation of work orders takes up a large amount of storage space on the server and directly leads to a reduction in the operating efficiency of the business system.

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