Automated Management of Community Websites Inc. Computer Science, 2003-04

Liaison(s): David Graves
Advisor(s): Melissa O’Neill
Students(s): Andrew d’Avis (PM), Brian Merdian, Mark Nelson, Jenny Xu

This project developed tools to analyze posts made to NeonGecko’s on-line discussion forums, classify posts into known topic areas, and identify new topics. The team applied supervised learning techniques (trained with precategorized posts) to determine topics of new posts. The team used clustering techniques to identify groups of posts that are markedly different from existing topics and thus might be new topics. Project work stressed extensive technique testing and delivery of a functional system.