Managing digital public opinion: a case study on developing a deep learning monitoring system for Weibo

Key Points

• The study aims to develop a deep learning-based system to monitor digital public opinion on Weibo.
• Developed a deep learning monitoring system for social media analysis.
• Analyzed data from Weibo to assess public sentiment and opinion trends.
• Utilized algorithms to process and categorize digital opinions.
• The system successfully identified sentiment patterns with high accuracy.
• Demonstrated timely insights into public opinions related to specific topics.
• Facilitated improved strategies for managing digital public perceptions.

Abstract