# Quantification and Analysis of Group Sentiment in Electromagnetic Radiation Public Opinion Events
## 4 Research Design and Plan
### Analysis of Research Result
The findings emphasize the importance of considering cluster density in the dissemination of public opinion related to electromagnetic radiation. By incorporating cluster density into group emotion calculations during public opinion monitoring, one can derive a comprehensive understanding of the actual emotional dissemination of posts. For clusters with low density, even if negative emotions are high, emotional guidance is unnecessary. The findings emphasize the critical role of considering cluster density in the spread of public opinion related to electromagnetic radiation. By integrating cluster density into the analysis of group emotions during public opinion monitoring, we can accurately assess the actual emotional impact of posts. For clusters with low density, even if negative emotions are prevalent, it is unnecessary to guide or intervene in these emotions. 2.2 Emanation Processes, Understanding Public Needs, Deep Exploration of Public Opinion Information, and Enhancing the Timeliness and Precision of Public Opinion Guidance  
A comprehensive analysis should combine both the sources and the dissemination processes. When analyzing the spread of public opinion, it is crucial to consider the reasons behind the dissemination along with the process itself. Understanding the specific content of reposts, comments, and likes is essential, as this constitutes the source. This helps prevent situations where comments that support negative content are mistakenly categorized as positive emotions. For instance, the seventh-ranked post in positive emotion, published by \"[PERSON]\", had a comprehensive emotion value of 0.22. This post was a repost concerning the dangers of high-voltage lines, mentioning the harms of electromagnetic radiation: \"Open-air high-voltage power grid, long-term EMR causes childhood leukemia, severely damaging health\". Despite the post's negative content, the only comment was \"Yes, being this close is harmful even to adults\", with \"Yes\" indicating agreement and being \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Ranking Table** & & & **Publisher** & & \\ \hline
**Overall sentiment ranking** & Regarding [PERSON] & [PERSON] & [PERSON] love [PERSON] & Faint Lotus Fragrance & Jiangsu State Grid \\ \hline
**Macro cluster average sentiment ranking** & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Negative aggregate mood value and macro cluster mood value ranking (top 5). calculated as a positive emotion. The commenter was agreeing with a negative sentiment. This experiment's failure to account for the actual emotional tendency expressed by the Weibo post could lead to biases in assessing the emotional dissemination it triggers. In practical public opinion analysis, both the post's emotional tendency and the emotional tendency it generates should be evaluated comprehensively. If a post is inherently negative but elicits positive emotional responses, this discrepancy should be noted and addressed. Analyzing Dissemination Content and Understanding Public Needs. In monitoring network public opinion, special attention should be given to the spread of negative opinions. It is essential to identify early signs of malicious dissemination, fully understand the content of emotional dissemination, and address public needs precisely to resolve issues. This study specifically analyzed the top ten Weibo posts with the highest negative emotions. The content of these posts primarily involves two themes: defending rights against EMR issues caused by the construction of substations and discussing the harms of electromagnetic radiation. These themes are currently the main triggers of negative emotions regarding electromagnetic radiation. For instance, the second-ranked post in negative emotion was by \"[PERSON]\", discussing concerns about a house being adjacent to a substation and fears of electromagnetic radiation. This post had a comprehensive emotion value of -0.08 and received 188 comments, leading to extensive discussion.