Network Public Opinion Evolution and Governance: A Study Based on Theme Sentiment Analysis

This paper investigates the evolution and governance of network public opinion based on theme sentiment analysis. Network public opinion refers to the collective opinions and attitudes expressed by individuals online, often through social media platforms. It plays a crucial role in shaping public discourse and influencing societal trends. However, the dynamic nature of network public opinion, coupled with the prevalence of misinformation and emotional manipulation, necessitates effective governance strategies.

This research utilizes theme sentiment analysis to identify and analyze the sentiment associated with specific themes within network public opinion. By tracking the evolution of sentiment across different themes, we can gain valuable insights into the underlying trends and drivers of public opinion. This understanding is critical for developing proactive measures to mitigate negative sentiment and promote positive social outcomes.

Specifically, the research aims to address the following questions:

1. How does sentiment evolve across different themes within network public opinion?
2. What are the key factors influencing sentiment shifts?
3. What are the implications of these findings for effective network public opinion governance?

The research will employ a combination of quantitative and qualitative methods. Quantitative methods will involve analyzing large-scale datasets of online content, using techniques such as sentiment analysis and topic modeling. Qualitative methods will involve conducting interviews and focus groups to gather in-depth insights from individuals involved in online discourse. This comprehensive approach will provide a holistic understanding of the dynamics of network public opinion and its governance.

The findings of this research will have significant implications for policymakers, social media platforms, and other stakeholders involved in managing online public opinion. By understanding the evolution of sentiment across different themes, we can develop more effective strategies for combating misinformation, promoting constructive dialogue, and fostering a more informed and engaged online public.