We show that the linguistic aspects of crisis counseling explored in previous sections have predictive power at the level of individual conversations by evaluating their effectiveness as features in classifying the outcome of conversations.
we create a balanced dataset of positive and negative conversations more than 30 messages long and train a logistic regression model to predict the outcome given the first x% of messages in the conversation.