Abstract: Described herein are systems and techniques to facilitate efficient determination of operator sentiment based on unstructured textual data exchanged between computing devices via communications channels. Unstructured textual data may be preprocessed to remove extraneous data and prepare the textual content for input to a machine-learned model trained to determine one or more sentiment scores based on textual data. The output of the model may be used to determine sentiment data and/or trends and to determine one or more subsequent actions.