Which task comes first in filtering repeated content from a conceptual index?

The first task in filtering repeated content from a conceptual index involves evaluating and tagging desired filters. This initial step is crucial because it allows you to determine which filters are relevant for your analysis on the data set. By assessing and tagging the filters you want to apply, you set the foundation for the subsequent steps in the process.

Once you have effectively identified and tagged the appropriate filters, you can then move on to running the repeated content identification to detect any duplicate content. This serves to ensure that the analysis accurately reflects the unique information without redundancy. Only after these filters have been established can you proceed to run the index and apply those filters, which ultimately streamlines the data for an effective analysis.

This systematic approach emphasizes the importance of preparation before executing actions on the dataset.