Monitoring and Analysis of Public Opinion in Social Networks Based on Weibo Data Mining

Key Points

• This research aims to understand how public opinion can be effectively monitored and analyzed through social networks, specifically using Weibo data.
• Data mining techniques applied to Weibo platform
• Analysis of user-generated content to identify public sentiment
• Trend analysis of public opinions over time
• Identification of key topics influencing public opinion on Weibo
• Demonstrated patterns in sentiment related to various events
• Increased understanding of public discourse in social media

Abstract