• provide tree structure to visualize email thread;

• provide social information for any user clique and visualize it in a graph;

• provide information retrieval to make easier for user to find any emails based on the keyword of search;

• clustering building for email document based on the similarity between theme using KMeans algorithm. With this clustering, system can make some group of documents to grouping all of documents and provide most important keywords for each groups;

• provide some graphics about the history of email collections, for example system can provide about the number of email in any period time, who are the most participate in our email, etc.

Finally, there are many fields that can be helped with BuddyMiner, to help customer services to analyze their customer email service to know about some important things about the history and content of the emails.