## 8 Conclusions and Insights  
### Conclusions  
The Lushan, Maerkang and Luding earthquakes selected for this research all occurred in the Sichuan region, and they occurred relatively close in time, causing casualties and bringing serious economic losses to the local people. Meanwhile, the Lushan earthquake is located in the Longmenshan Fault Zone; the Maerkang earthquake occurred in the Songgang Fault Zone; and the Luding earthquake occurred in the Xianshui River Fault Zone. Of the above three earthquakes, the Luding earthquake was the most destructive, caused the most serious damage and received the most public attention. Microblogs currently represent one of the most important vehicles for reflecting public opinion, and analyses of disaster-related microblog texts are of great significance for researching public opinion. Therefore, we crawled the posting data of microblogs after the three earthquakes and the comments of microblogs posted by official media outlets based on Sina Weibo to describe the spatial and temporal characteristics of a number of people's microblogs posted 144 h after the earthquakes and to analyze the differences in people's attention affected by space and time. We crawled the content of people's comments under the microblogs released by official media outlets and identified the comment sentiment with the help of the Tencent Cloud natural language processing platform, and, thereafter, we classified the analysis of people's sentiment and explored the influencing factors of the changes in people's sentiment. The main conclusions are as follows:  
1. Examining the statistical results regarding the number of microblogs, microblog users paid high attention to the three earthquakes and published and retweeted a lot of information related to them. People published the most microblogs about and paid the highest attention to the Luding earthquake, followed by the Lushan earthquake, while the lowest in the Maerkang earthquake. The number of aftershocks, the severity of secondary disasters and the scope of social influence will all lead to an increase in the number of microblogs and an increase in attention; otherwise, the number of microblogs will show a decreasing trend. In the spatial characteristics, the people's attention is not only closely related to the areas where earthquakes occur and historical disasters are frequent, but also influenced by labor migration, the coastal areas are also in the forefront of attention, and the three earthquake microblogging areas are mainly concentrated in Sichuan, Guangdong and Jiangsu and Zhejiang. 2. Examining the characteristics of the microblogs, the word \"earthquake\" appeared the most frequently in the microblogs after the earthquakes. \"Lushan\", \"Maerkang\", \"Sichuan\", \"Luding\" and other words indicating geographical location were also among the top most frequently used words, while other high-frequency words, such as \"casualties\", \"depth of earthquake\", \"earthquake network\" and \"aftershock\" were closely related to the three earthquakes. 3. From the viewpoint of the change in sentiment, the positive sentiment of the people in Sichuan was higher than the negative sentiment for all three earthquakes, among which the positive sentiment of people after the Maerkang earthquake decreased by 13.3% compared with the Lushan earthquake, and the positive sentiment of people after the Luding earthquake decreased by 5.9% compared with the Lushan earthquake. Through a comparison by region, we observed that the sentiment value of the people in Sichuan was generally lower than that of the people in the other regions and that people's sentiment has a close relationship with the region that they are in. Through a correlation analysis of official sentiment and public sentiment, we found that the change in public sentiment was not only affected by the disaster itself but that it was also influenced, to a certain extent, by the microblogs released by the government and other official departments, showing a positive and significant influence.