Field label obtaining method and device, storage medium and electronic device

A technology for obtaining methods and fields, which is applied in the field of data processing and can solve problems such as heavy workload and low efficiency

Inactive Publication Date: 2019-11-12
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present disclosure provide a field label acquisition method and device, a storage medium, and an electronic dev...

Method used

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  • Field label obtaining method and device, storage medium and electronic device
  • Field label obtaining method and device, storage medium and electronic device
  • Field label obtaining method and device, storage medium and electronic device

Examples

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Embodiment 1

[0027] The method embodiment provided by Embodiment 1 of the present disclosure may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, figure 1It is a block diagram of the hardware structure of a mobile terminal according to a field label acquisition method according to an embodiment of the present disclosure. Such as figure 1 As shown, the mobile terminal 10 may include one or more ( figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the above-mentioned mobile terminal also A transmission device 106 for communication functions as well as input and output devices 108 may be included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does ...

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Abstract

The embodiment of the invention provides a field label obtaining method and device, a storage medium and an electronic device. The method comprises the steps that a training sample set is acquired, the training sample set comprises sample fields used for training an initial network model and labels, the mapping relation between the sample fields and the labels is known, and the labels are used forrepresenting the categories of the sample fields; the training sample set is input into a plurality of initial network models for training to obtain a plurality of target network models, the target network models being used for outputting corresponding labels according to the fields, and the training algorithms corresponding to the plurality of target network models being different; the pluralityof target network models are tested by using a test sample set, and the target network model with the minimum error between the output label and a preset label is determined as an application model,the test sample set comprising a test field for testing the target network model and the label; and the to-be-classified fields are input into the application model to obtain labels corresponding to the to-be-classified fields.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular, to a field label acquisition method and device, a storage medium, and an electronic device. Background technique [0002] Data quality management refers to the standardization of each information collection point of the information system in order to meet the needs of information utilization, including a series of processes such as the establishment of modeled operating procedures, verification of original information, feedback of error information, and correction. Poor data quality, the leading cause of IT project failure, is one of the driving factors behind customer churn. [0003] Good quality data means having accurate and timely information to manage products and services from research and development to sales. Poor quality data leads to wrong insights and thus wrong decisions. If the decision is wrong, the company will pay a heavy price. Therefore, th...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06K9/62
CPCG06F16/215G06F18/241G06F18/24147
Inventor 宋柯
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD
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