Three dimensional geo-tweet visualization system for spatio-temporal events

Geo-tweet visualization help users know the events that is happening over the space and time from the tweets or wikipedia while they click on the specified location for a 3D based tag visualization. Normal events are detected by system which happens anywhere or anytime using machine learning algorithm and special events are also extracted by comparing current situation to normal regularities. Generally, people look for location along with its route and information about surrounding tourist locations for which system provides spatial context of location which is being harvested from freely available source like wikipedia, Twitter, tumblr etc... Initially, Geo-referenced information are gathered which are closed to specified points and then gathered data is filtered based on frequency of words from data harvested, which is then visualized as a tag cloud in android mobile. Visualization details could be adjusted interactively based on interest of the client by changing radius of specified region. Visualization of tag cloud is then summarized to aid user to gain an overview of current situation that is happening over the time.