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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Research on big data processing based on deep learning to extract social network image information

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DOI: 10.25236/mmmce.2021.041


Xiao Wang

Corresponding Author

Xiao Wang


With the advent of the era of big data, a series of deep learning network structures have shown great advantages in the field of image processing. The social network represented by microblog contains a lot of valuable public opinion information about national security incidents, which exists in the text, image and network user data of social network. The emergence of massive cross media information challenges the traditional search methods. In recent years, the emerging deep neural network method provides a new solution for extracting and understanding cross-media semantic information. Data obtained from various complex systems are integrated into a network through the correlation between data, so the scientific problem faced by big data is essentially a network scientific problem. How to mine the relationship between data and analyze it quickly is a research hotspot at present.


Deep learning, social network images, big data processing