Intelligent labeling method and system based on natural language processing
A technology of natural language processing and labeling, applied in natural language data processing, electronic digital data processing, special data processing applications, etc., can solve the problem of lack of closed-loop management of text label tasks, and achieve labor cost savings, high accuracy, and improved The effect of work efficiency
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0032] This embodiment provides an intelligent labeling method based on natural language processing;
[0033] Such as figure 1 As shown, an intelligent labeling method based on natural language processing, including:
[0034] S101: Construct a training set and a test set; construct a label model based on the training set and the test set; wherein, the training set and the test set are multiple field texts of known labels;
[0035] S102: Encapsulate the constructed label model and generate an interface;
[0036] S103: Configure the interface;
[0037] S104: Obtain the text data to be processed; call the configuration to tag the natural language to be processed.
[0038] For example, there are multiple fields in the basic information data A of an enterprise employee: department, place of origin, graduate school, education background and professional title; current technical research mainly focuses on obtaining a label based on only one field, for example: according to "Educa...
Embodiment 2
[0063] This embodiment provides an intelligent labeling system based on natural language processing;
[0064] An intelligent labeling system based on natural language processing, including:
[0065] A building module configured to: construct a training set and a test set; build a label model based on the training set and the test set; wherein, the training set and the test set are multiple field texts of known labels;
[0066] An encapsulation module, which is configured to: encapsulate the already constructed label model and generate an interface;
[0067] a configuration module configured to: configure an interface;
[0068] The tagging module is configured to: obtain text data to be processed; call configuration to tag the natural language to be processed.
[0069] What needs to be explained here is that the above-mentioned building blocks, encapsulation modules, configuration modules and labeling modules correspond to steps S101 to S104 in Embodiment 1, and the examples ...
Embodiment 3
[0073] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.
[0074] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More