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March 22, 2026International Journal of Data Science0 citations

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

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WNWANG NingYZYulin ZhouYLYutao Li

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

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Ning et al. (2026) studied this question.

synapsesocial.com/papers/69bf8692f665edcd009e8f81https://doi.org/10.1504/ijds.2026.10077166
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