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Geographic information identification method and device based on deep learning

A deep learning and geographic information technology, applied in the field of geographic information recognition, can solve the problem of low accuracy of geographic information recognition, and achieve the effect of solving the problem of low recognition accuracy, improving efficiency and accuracy, and accurate geographic information recognition.

Inactive Publication Date: 2019-04-12
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention provides a method and device for identifying geographic information based on deep learning to solve or at least partially solve the technical problem of low accuracy in identifying geographic information in the prior art

Method used

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  • Geographic information identification method and device based on deep learning
  • Geographic information identification method and device based on deep learning
  • Geographic information identification method and device based on deep learning

Examples

Experimental program
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Embodiment 1

[0051] This embodiment provides a method for identifying geographic information based on deep learning, please refer to figure 1 , the method includes:

[0052] First, step S1 is executed: obtaining raw data including geographic information.

[0053] Specifically, raw data can be obtained through existing tools or from existing databases. For example, get it from the network through a crawler.

[0054] Then execute step S2: preprocessing the original data.

[0055] Specifically, due to duplication or errors in the acquired raw data, in order to ensure the quality of the annotation, these data need to be preprocessed, such as data screening, cleaning, etc.

[0056] Next, step S3 is executed: labeling the preprocessed data to form a corpus.

[0057] Specifically, the way of labeling can be manual labeling, automatic labeling or a combination of both. Among them, the automatic labeling method can adopt an active learning strategy, that is, according to the preset selection r...

Embodiment 2

[0156] This embodiment provides a recognition device based on deep learning geographic information, please refer to Figure 9 , the device consists of:

[0157] An acquisition module 601, configured to acquire raw data containing geographic information;

[0158] A preprocessing module 602, configured to preprocess the raw data;

[0159] Annotation module 603, configured to annotate the preprocessed data to form a corpus;

[0160] The training module 604 is used to input the corpus into the deep learning model to train the deep learning model, wherein the deep learning model is BiLSTM+CRF+AGG, including a feature embedding layer, a bidirectional LSTM layer, a BiLSTM output layer, a CRF layer, and a quasi-output layer Layer, aggregation layer and final output layer, AGG is the added aggregation layer;

[0161] The recognition module 605 is configured to input the data containing geographic information to be processed into the trained deep learning model, and aggregate adjacen...

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Abstract

The invention provides a geographic information identification method and device based on deep learning. The method is based on a BiLSTM + CRF deep neural network model. an aggregation layer suitablefor a fine-grained labeling strategy is added; a unique geographic information analysis model (BiLSTM + CRF + AGG) is formed, and through careful improvement and optimization, the system has very highfault-tolerant capability, and relatively accurate geographic position information identification is realized on text information which is nonstandard and incomplete and has wrongly written characters; a plurality of complete and mutually independent auxiliary systems are developed; the deep learning model developed by python is seamlessly applied to a windows development platform, secondary development of mainstream languages such as C + +, C #, java and the like is friendly supported, and an implementation scheme from research to application is realized. The technical effect of improving the recognition precision is achieved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method and device for identifying geographic information based on deep learning. Background technique [0002] With the increasing improvement of the national economy, especially the vigorous development of the e-commerce industry, whether it is for social security considerations, or for business optimization management, cost reduction and efficiency improvement considerations, the user's geographical location information is accurately and quickly Analytics is getting more and more attention. [0003] However, due to the rapid growth of user data and the ever-changing changes in geographic information, especially the channels for collecting data are diverse and random due to historical reasons and work scenarios and other factors, resulting in user information There are many problems, mainly in the two aspects of "lack of standardization of geographic i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29G06N3/04
CPCG06N3/045
Inventor 凌广明穆晓峰徐爱萍徐武平
Owner WUHAN UNIV
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