What should be done after selecting clusters with the highest percentage of relevant documents?

After selecting clusters with the highest percentage of relevant documents, the most logical step is to mass tag those documents for review priority. This action ensures that the most pertinent information is highlighted and made easily accessible for further analysis or review. By prioritizing the most relevant documents, reviewers can focus their efforts on the content that is likely to yield the most insight or is most critical to their objectives. This strategy effectively streamlines the review process, saving time and enhancing the efficiency of the overall data analysis.

Mass tagging allows for organized workflow management, making it easier to track progress and address important documents without losing sight of other relevant data. It also provides clarity when coordinating with team members who may be involved in the review process, ensuring everyone knows which documents have been prioritized based on their relevance.

While other options may serve useful functions—like visualizing clusters for better understanding or exporting data for reporting—mass tagging directly enhances the review process based on document relevance, making the choice supportive of efficient data management practices.