What function does the 'Cluster' option serve in the context of labeling verbatims?

The 'Cluster' option in the context of labeling verbatims is designed to enable bulk labeling of similar verbatims. This functionality is particularly useful when dealing with large sets of data, where manual labeling of each individual entry would be time-consuming and inefficient. By clustering similar verbatims, the system groups them based on shared characteristics or themes, allowing users to apply labels to multiple entries simultaneously. This streamlines the labeling process and enhances consistency, ensuring that similar inputs receive the same classification without redundant effort.

The other options present functions that are either unrelated to the clustering of verbatims or serve different purposes. For instance, importing new data sources or exporting data for reporting pertains to data management tasks rather than the direct act of labeling verbatims. Tracking engagement with users focuses on user interaction metrics rather than on the processing of verbatims for categorization. Therefore, the clustering functionality stands out as a dedicated tool for improving the efficiency and accuracy of labeling similar verbatims.