10.7 Deep inspection With the deep inspection feature of Content Analytics, you can export the entire  analysis of a set of documents that match a query defined in the content  analytics miner. The analysis and statistics generated by deep inspection are the  same as those performed by the content analytics miner but without limits  imposed on the number of facets and their values.  The content analytics miner is designed as an ad hoc text mining tool that  supports rapid calculation in response to frequent changes in your query. If the  analyzed data contains many facets and keywords, performance might be  degraded. Consequently, limits are placed on the number of keywords (less than  500) that can be processed by the content analytics miner to prevent this kind of  performance degradation. In most cases, the limit does not affect your analysis. Discovery of trends,  patterns, and high correlations usually surfaces in the most frequently occurring  documents of your first 500 keywords (depending on your sort criteria). However,  it is possible that, in certain scenarios, you want to view the entire set of  calculations for all documents. You do that with deep inspection.   Chapter 10. Importing CSV files, exporting data, and performing deep inspection  387 doc_fact.csv Contains the ID, URI, doc_category (search field that we  previously configured for export), DATE, and  DATE_FACET_ID.  doc_flag.csv Contains the ID and Name for each document flag. Our  example does not contain any exported document flags.  Therefore, this file is empty.  doc_flag_brg.csv Provides data to link the document flag with the specific  document. It contains the ID for the file that matches the  ID column value in the  doc_fact.csv  file and the ID of the  document flag listed in the  doc_flag.csv  file.  export_fact.csv Contains the document ID of the exported documents.  export_metadata.csv Provides data related to the export. It contains the REQID,  EXPORTID, DESCRIPTION, QUERY, and USER for the  export request.  product.csv Contains the ID and Product facet data.  product_brg.csv Provides data to link the product facet with the specific  document. It contains the ID for the file that matches the  ID column value in the  doc_fact.csv  file and the ID of the  product facet listed in the  product.csv  file.