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SNS METHOD OF CLASSIFYING SNS IMAGE DATA FOR TOURISM AND ANALYZING PREFERENCE BY TOURISTS USING CONVOLUTION NEURAL NETWORK RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD
SNS METHOD OF CLASSIFYING SNS IMAGE DATA FOR TOURISM AND ANALYZING PREFERENCE BY TOURISTS USING CONVOLUTION NEURAL NETWORK RECORDING MEDIUM AND DEVICE FOR PERFORMING THE METHOD
The tourism purpose classification and tourist preference analysis method of SNS image data using the convergence neural network is geo-tagging to obtain the image data posted on the SNS, and the tourism activity of tourists through the convergence neural network (CNN). Learning What); Classifying image data according to an image-only classification system for tourism purposes using the result of the learning; Sorting the classified image data in chronological order to derive the trajectory of each tourist; Extracting space-time clusters from the movement trajectories of each tourist through 3D density-based spatial clustering of applications with noise (DBSCAN); And analyzing the spatiotemporal interest characteristic of a certain region tourism through the spatiotemporal cluster. Accordingly, it is possible to provide contextual information on tourism activities for each user based on the classification system for tourism purposes.
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