Abstract: A machine learning of response selection to structured data input enables a machine to flexibly and responsively actively engage with a response recipient through a device, such as any electronic device connected to a data network. A system of one or more computers can be configured to respond to structured language messages, such as a textual messages, received from user devices with one or more templates that have been ranked using predetermined criteria including a machine learning classification of a momentum of a structured language message using a machine learning model. The momentum classification is correlated with templates. A ranking engine ranks the selection of candidate response templates in accordance with ranking criteria, including the momentum classifications for the candidate response templates. A highest ranked candidate response template is selected to provide a response to the textual messages received from the user devices.