Text Analysis vs Visual Classification (Part One) ...

Text Analysis ("TA") and Visual Classification ("VC") take two different approaches to classifying documents. TA uses the text associated with the documents being classified while VC bases its analysis on graphical representations of those documents. TA is an outgrowth of tools designed to extract meaning from collections of textual content. VC was developed as an enterprise-scale information governance tool for completing document-centric initiatives like content migration, archive digitization, silo consolidation, and archive digitization. The different approaches and origins of TA and VC lead to major differences in awareness, comprehensiveness, transparency, repurposing work product, attribute extraction, redaction, and correcting document boundaries among other things.