This document provides instructions for building and using a text classification model within Microsoft Azure to analyze text and route it appropriately. It involves the following steps: 1. Building a text classification model in Azure to analyze healthcare feedback text and tag it. 2. Publishing the trained model and using it via the Predict action in Microsoft Flow to classify new text and parse the results. 3. Adding conditional logic and actions to the flow to email specific feedback text to staff or other departments, depending on the model's classification and a minimum score.