Proj2Part1 jar contains the code for find out the most trending words from twitter data collected. ProjPart3.jar contains the code for kmeans clustering where we cluster the tweeters by the number of followers they have. We will need three clusters where the average number of followers is low, medium and high respectively, where the actual average value for each cluster will depend on your data size. This information may be used for marketing and for targeting the ads/messages. ProjPart4.jar contains the code for finding the shortest path for graph data that was already provided. (graph data includes the data and the format)