The OverHear project is an attempt to extract contextual information from computer-transcribed conversations. Using a Markov classifier and the SDK of a commercial speech recognition system, the program weights each word with a confidence factor and then looks for patterns in word order. The algorithm has had demonstrable success when applied to location and conversation classification (chit-chat, research, phone call, etc), even when used on different speakers.