The current view of the big data have been enormously changed due to management of big quantities of data, moreover an efficient analysis of them is a difficult task. For these reasons our project, using distributed computing techniques same as MapReduce and MPI, to analyze social networks contents, searching inside keywords (hashtag) summarizing and highlighting, in a geographic map, places where these keywords are most used. This tool is a social network contents analyzer that predict and intuitively understand mobility phenomena, natural disasters, social events, social trends and opinions, thanks to a geographic representation of this contents.
- Job : Develompemt, MapReduce, Python
- Date : Mar 2017
- Agency : University of Catania