Semantic Emotional Map Design Of Microblog In Cold Wave Weather Disaster

In the context of global warming,sudden natural disasters are occurring increasingly frequently,which attracts widespread attention.Microblog,as one of the emerging social media platforms,plays an important role in studying climatic disasters and humans’behavioral patterns.The paper first studies the relations between the disasters caused by cold waves and human emotions.It then divides the microblog data during the cold waves into eight types of emotions through semantic analysis,including joy,expectation,sadness,fear,anger,helplessness,trust and aversion.The paper designed a weather—emotion map and tag-cloud map based on Delaunay triangulation network through a host of methods,including the grid method,hotspot analysis,IDW interpolation method,cellular analysis,kernel density analysis,and tag-cloud triangulation network charting.Also,the paper presents microblog users’ emotional distribution and changes by visualized means.It then portrays microblog users’ behavioral patterns and emotional changes from the perspective of microblog semantics.The research results drawn by the paper can serve as references for the government to prevent and mitigate sudden climatic disasters.The research of the paper is divided into three parts:(1)The paper starts from January 19,2016 to January 27 with the temporal-spatial analysis of microblog data during cold waves.According to the time sequence of each day,microblog users mostly tweet microblogs from 18h to 23 h in the evening,while the users tweeting between Oh and 6h were much fewer.Throughout the cold wave that lasted from the 19th day to the 27th day,microblog users’ sensitivity is in direct proportion to the time of the cold wave.The number of microblogs increases from the early phase and reached the peak in the mid-phase;it then decreases in the post-phase.The users who tweet microblogs are concentrated in Shushan District,Luyang District,Baohe District,and Yaohai District.Conversely,fewer microblogs are tweeted by users in Changfeng County,Feidong,Feixi,and Chaohu.(2)Secondly,the paper carries out the temporal-spatial analysis of emotions.According to survey findings,eight emotions are mostly distributed in the first and second rings of the city.The emotional distribution of joy and sadness is more widespread and accounts for the largest proportion;expectation and anger also account for a large proportion.Fear,trust,helplessness,and aversion are also concentrated in the downtown area,yet are distributed in a smaller region and account for a smaller proportion.Regarding time distribution,joy and sadness account for the majority of users’ emotions in the early phase.Microblog users’ joy and expectation grow substantially in the mid-phase,while their terror and helplessness are also on the increase.The microblogs with joy substantially increase in the post-phase and become the mainstream emotion,while the microblogs of anger,trust,and expectation are declining.(3)Lastly,the paper focuses on designing the emotional map.It shows the numeric changes and the trends of emotional changes in the early phase,mid-phase,and post-phase of the whole cold wave.It then discusses the relationship between the cold wave scale and emotional changes in microblogs through the broken-bar mixed graph.According to survey findings,microblog users’ emotional changes are in negative correlations to the cold wave scale.The paper eventually analyzes the causes of eight emotions with the tag-cloud map to study microblog users’ emotional and psychological changes.It is believed the study will assist relevant departments to prepare for preventing and mitigating sudden climatic disasters from the perspective of public participation.