Application of Social Media Medical Data in Public Opinion Monitoring and Psychological Counseling During Public Health Emergencies

Authors

  • Tianyu Yang
  • Sining Chai

DOI:

https://doi.org/10.54097/sfk39624

Keywords:

Social Media Medical Data, Public Health Emergencies, Public Opinion Monitoring, Psychological Counseling, Big Data Analysis

Abstract

The massive amount of medical data generated by social media provides a new perspective for responding to public health emergencies. Focusing on the field of big data and data analysis, this paper deeply explores the application of social media medical data in public opinion monitoring and psychological counseling during public health emergencies. Guided by technical implementation as the core, it constructs a full-process technical framework of "data collection - preprocessing - public opinion monitoring - psychological counseling", and thoroughly analyzes the principles and optimization paths of key technologies such as distributed crawlers, medical field word segmentation, and multi-feature fusion. By verifying the performance differences of different technical schemes, it illustrates the technical implementation effects combined with practical cases, and comprehensively demonstrates its specific applications in real-time public opinion monitoring, trend prediction, insight into public psychological states, and formulation of psychological counseling strategies. The aim is to provide technical support and practical guidance for improving the response capacity to public health emergencies and realizing scientific and efficient public opinion management and psychological intervention.

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References

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Published

31-10-2025

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Section

Articles

How to Cite

Yang, T., & Chai, S. (2025). Application of Social Media Medical Data in Public Opinion Monitoring and Psychological Counseling During Public Health Emergencies. Frontiers in Computing and Intelligent Systems, 14(1), 49-53. https://doi.org/10.54097/sfk39624