A large amount of information is in unstructured documents such as pdf, text files, images, social media, log files, and product manuals. Critical information such as tables, images, infographics is embedded in these documents. Extracting relevant data is not a trivial task when the structure of these documents varies from document to document.
Innova’s information extraction solution module allows people to filter data with natural query language to retrieve necessary information from unstructured documents. While doing so, the solution allows:
A human to validate the results from the extract engine
Convert unstructured information into a structured one
