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Information extraction method for personnel information based on CNN and LSTM modeling

A technology of information extraction and personnel information, which is applied in the field of information extraction, can solve problems such as difficulty in obtaining personnel information, achieve the effect of solving difficulty in retrieval, superior search performance, and improved retrieval speed

Inactive Publication Date: 2019-12-13
福建奇点时空数字科技有限公司
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Problems solved by technology

[0005] In order to solve the technical problems existing in the background technology, the present invention proposes an information extraction method for personnel information b

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  • Information extraction method for personnel information based on CNN and LSTM modeling

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[0027] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the specific embodiments and the accompanying drawings. It should be understood that these descriptions are exemplary only and are not intended to limit the scope of the invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present invention.

[0028] like figure 1 As shown, an information extraction method for personnel information based on CNN and LSTM modeling proposed by the present invention includes the following steps:

[0029] S1: Obtain personnel information;

[0030] S2: Build LSTM-CNN neural network system;

[0031] S3: Classify personnel information and select multiple keywords;

[0032] S4: Train the neural network system through the existing stored personnel info...

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Abstract

The invention discloses an information extraction method for personnel information based on CNN and LSTM modeling. The method comprises the following steps: S1, acquiring personnel information; S2, constructing an LSTM-CNN neural network system; S3, classifying the personnel information, and selecting a plurality of keywords; S4, training the neural network system through the existing stored personnel information and keywords; S5, obtaining the correlation between the keywords and the personnel information through the training in the step S4; S6, inquiring different keywords for multiple times, so that the system obtains a primary retrieval result; S7,resorting the multiple initial retrieval results through the neural network system to obtain a final retrieval result; and S8, extracting and calling the final retrieval result through an operator. According to the invention, the personnel information retrieval speed is improved, and the problem that the traditional personnel informationis difficult to retrieve is solved. The neural network system can call related information in time through correlation between keywords and personnel information, and excellent search performance is shown.

Description

technical field [0001] The invention relates to the field of information extraction, in particular to an information extraction method for personnel information based on CNN and LSTM modeling. Background technique [0002] At present, the work of various regions and departments has been basically realized electronically. For personnel management, personnel organization management, personnel cost management, work and study, etc., all can be managed through computers, personnel information construction. At the same time, quite a few organization departments have set up their own websites to organize government affairs, carry out learning and help personnel improve through the Internet. [0003] However, the existing various types of personnel information management systems are still in the stage of using computers. Due to the large number of officials, it is difficult to obtain and query personnel information. Contents of the invention [0004] (1) Purpose of the invention...

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Application Information

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IPC IPC(8): G06F16/903G06N3/04
CPCG06F16/903G06N3/049G06N3/045
Inventor 肖清林
Owner 福建奇点时空数字科技有限公司
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