What role do Positive and Negative choices play in the Review Center?

In the context of the Review Center, Positive and Negative choices serve a significant purpose in training the classifier. These choices allow users to categorize and label data effectively, providing the classifier with examples of what to consider as relevant (positive) and what to disregard (negative). This labeling process enhances the accuracy and efficiency of the classifier as it learns from these distinctions, ultimately improving its ability to sort and process information based on the criteria set by the users. This is crucial as a well-trained classifier can lead to better outcomes in document handling and overall performance in the system. By utilizing these choices, users contribute to the continuous refinement and learning of the classifier, making it a central component of optimizing the Review Center's capabilities.