Codify Unstructured Text

This can be solved by analyzing content in documents to populate a database of metadata and fields of key content components.

We use machine learning to process unstructured text or documents to organize, categorize, and extract key data for structured storage. Any text can contain both explicit and tacit knowledge which is not easily retrieved or analyzed before being processed. Compiling a joint data-room from a large amount of individual documents containing relational data makes it more accessible for analysis.

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