Probabilistic Model for Text Classification using an Encoder-Classifier Architecture

A machine learning engineer is building a system to categorize news articles. They use a component, represented by the notation $Classify_ω(·)$, which takes a numerical summary of an article and outputs a category label. After an initial training phase, the engineer finds the component's performance is unsatisfactory. To improve the system, they decide to adjust the values represented by $ω$. What is the most direct and intended outcome of modifying $ω$?

In the standard mathematical representation of a text classification component, Classify_ω(·), the symbol that represents the set of the classifier's learnable parameters is ____.

Deconstructing Classifier Notation