Polarity Classification as an Application of Sequence Encoders

A software team is building a system to automatically categorize customer feedback emails as 'Urgent' or 'Not Urgent'. The system first processes the email text through a sequence encoder, and the output of the encoder is then fed into a second component that makes the final categorization. Based on this architecture, what is the primary role of the sequence encoder?

Analyzing a Flawed NLP System

A sequence encoder's primary function is to directly produce a final task-specific output, such as a sentiment label ('positive' or 'negative') for a given sentence.