For NASA's planned manned exploration class missions, task and psycho-social performances can be subject to degradation due to extended periods of isolation in extreme environments, social monotony, and other factors related to long duration missions. Utilizing research in socio-linguistics theory, AD ASTRA provides non-intrusive and automated methods for analyzing textual data produced by these isolated teams to gain insight into a group's team dynamic and individual psychosocial states.