A developer is tasked with creating a sentiment analysis model to classify movie reviews as 'positive' or 'negative'. They have access to a powerful, pre-existing model component that excels at converting any given text sequence into a sequence of rich numerical vector representations. The developer's goal is to use this component as a fixed feature extractor without altering its internal parameters. Which of the following describes the most appropriate system architecture for this task?

You are using a pre-trained model component to build a system that classifies the topic of a given sentence. Arrange the following steps in the correct chronological order to show how an input sentence is processed to generate a final topic classification.