Exploring and Mining Geospatial Intelligence Value from Big Data in Public Opinion
Abstract: Geospatial intelligence is critical to provide a better understanding of internet public opinion. It is an important issue to fully tap the potential of geospatial information in the Internet big data. From the geographical point of view, the proposal carried out a study of internet public opinion. Some analytical methods, including spatial statistics and geocomputation, were used to mine the internet big data of public opinions related to emergent events based on internet data monitoring. Thus, we investigated on the spatial difference patterns of information flow spread among netizens located in different regions of China, and explored their similarities and differences of social mood. Furthermore, we analyzed and identified the role of spatial effect in geography in transmission and evolution of internet public opinion. Scientific proof was conducted for geospatial effect and mechanism in transmission and evolution of internet public opinion. Subject to public health emergencies was selected as our case study. Based on the case study, we developed a software prototype system for the situation assessment and analysis of the public health emergencies.
Keywords: internet public opinion; public opinion analysis; big data; spatio-temporal evolution; geospatial intelligence