A huge number of tweets are continuously emerging from all over the world on a daily basis. Analyzing these tweets is a strategic action to enable event discovery, hidden patterns extraction and other useful insights from within a specific area. In this project, a student needs to conduct a spatio-temporal analysis of tweets content. The tweets are to be collected from a Twitter stream API, in order to extract real time information about events as they occur. The three components of location, time, and content of tweets will be used for this exploratory analysis. The user of the system should see a one-page Web App built using leaflet technology to display a map of a certain geographic area. Then she can do the following: 

• Enter a query into an input field then hits enter. 

• There should be an optional location and date fields 

• The tweets are retrieved from ES and scored based on text/location/time 

• A heatmap is plotted over a map using these scores [be creative and show how you can build a story of insights that can add value] Main Tasks: ( using Java Coding) 

• Generating Stream of Tweets (either using Twitter API or via simulating a stream from a file) 

• Continuous update of ES 

• Query Processing 

• Building Web service to communication with ES and serve client requests 

• WebApp building using Leaflet SDK.