Research on Screening of Empathy Information Based on Image Recognition and Data Mining

• Main Authors: Gong Ying, Yan Jin, Cuiyu Bao, Zhaorong Chen, Yunlong Deng
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Youth empathy; image recognition; bad information; particle swarm optimization; data envelope
• Online Access: https://ieeexplore.ieee.org/document/9166478/

The Internet not only provides help for people to understand the world and facilitate life, but also provides a convenient way for widespread dissemination of bad information. It follows that young people are often harassed by pornographic, violent and other bad images, which affects the development of young people's empathy. In this study, from the perspective of the combination of bad image screening and youth empathy ability, the effect of bad image on youth empathy ability is studied. In this article, a new empathy analysis model is constructed based on traditional empathy theory, combined with image recognition and data mining technology. First, the theoretical principles of bad image recognition technology and their application in the evaluation of empathy ability are expounded. Then, based on image recognition and fusion particle swarm optimization algorithm, the classification of bad images was studied. Finally, on the basis of image classification, a data envelopment model is used to grade the young people's empathy ability. The actual case analysis and performance test results illustrate the superiority of the implemented image classification and empathy evaluation method based on image recognition and data mining. This research has certain theoretical significance for the research of enriching empathy ability and interpersonal relationship. At the same time, it has certain practical significance for improving the youth's interpersonal trust, realizing the harmonious interpersonal relationship and the healthy development of body and mind.