Public opinion analysis based on geographical location
Yanping Lv, Xiao Xiao, Dazhen Lin, Donglin Cao · 2015
With the development of social network applications, an increasing number of public opinion analysis systems focus on virtual network space. However, many events in virtual network space connect strongly with the events in real physical space. To solve that problem, we propose a graphical location based topic analysis framework, which combines the geographical location information and Latent Dirichlet Allocation (LDA) based topic analysis to visually analysis the connection between visual network space and real physical space. Our experiments show that this framework is useful for emergent events including natural disaster and social unrest.