Logistics information identification method and device, computer device and storage medium

Abstract

The invention discloses a logistics information identification method and a device, a computer device and a storage medium. The method comprises the steps of obtaining waybill information of logistics, performing dual segmentation on the waybill information according to a standard word segmentation algorithm and a conditional random field lexical word segmentation algorithm; obtaining a segmentation position of the waybill information; according to a conditional random field lexical word segmentation algorithm, performing part-of-speech tagging on the waybill information; obtaining part-of-speech classification series of the waybill information; according to a logic determination algorithm, obtaining a logic judgment value of the waybill information relative to a preset template; analyzingthe waybill information according to the segmentation position, the part-of-speech analysis column and the logic judgment value; according to the method and the device, the problem of low logistics information identification accuracy is solved, the logistics waybill information identification degree is improved, the cargo distribution and receipt auditing efficiency is improved, and meanwhile, data support can be provided for later logistics service and business development planning.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to methods, equipment, computer equipment and storage media for logistics information identification. Background technique [0002] With the development of e-commerce, more and more users choose to shop online through the Internet, resulting in a large amount of logistics information. In the process of logistics transportation, there are two aspects: entry of logistics delivery information and review of logistics documents. step. In the process of entering logistics delivery information, users need to fill in key information such as recipient address and phone number by copying and pasting multiple times. When filling in, the operation is cumbersome and takes a long time; in the process of reviewing the receipt of logistics documents Among them, operators need to manually review the receipt pictures uploaded by drivers, check the receipt time and license plate nu...

AI Technical Summary

Problems solved by technology

In the process of entering logistics delivery information, users need to fill in key information such as recipient address and phone number by copying and pasting multiple times. When filling in, the operation is cumbersome and takes a long time; in the process of reviewing the receipt of logistics documents Among them, operators need to manually review the receipt pictures uploaded by drivers, check the receipt time and license plate number, the labor cost is high, and the processing efficiency is low. With the rapid development of logistics technology, pure manual review cannot meet the requirements of the business. Rapidly evolving needs

[0003] In related technologies, existing logistics companies provide the function of automatic identification of logistics information by using the jieba word segmentation algorithm, but for unstructured logistics text information without separators and all information connected together, the recognition accuracy of the algorithm Low, affecting the efficiency of goods distribution and receipt review

[0004] Aiming at the problem of low accuracy of logistics information identification in related technologies, no effective solution has been proposed so far

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