Untangling topic threads in chat-based communication: a case study
Sowmya Ramachandran, Randy Jensen, Oscar Bascara, Tamitha Carpenter, Todd Denning, Lt. Shaun Sucillon · National Conference on Artificial Intelligence · 2011
Analyzing chat traffic has important applications for both the military and the civilian world. This paper presents a case study of a real-world application of chat analysis in support of team training exercise in the military. It compares the results of an unsupervised learning approach with those of a supervised classification approach. The paper also discusses some of the specific challenges presented by this domain.