Unstructured content refers to information that does not have a well-defined or organized data model, such as mortgage documents, invoices, claims and healthcare EOBs. This results in ambiguities and irregularities that make it difficult to understand programmatically and even more difficult to process the content.

It takes years of observation and programming for the most powerful computer, our human brain, to be able to process the unstructured content. Moreover, it typically requires further training to target and process specifics from the unstructured content. The good news: if your brain can process it then there must be some implied structure and rules (we will get into some details later).

Approximately 75% of all potentially valuable business information originates in unstructured format. Today there is around 38 Zettabytes of unstructured content available for processing, and this number is growing rapidly as we continue to become a digital society. Typically, the content of unstructured data is extracted via trained humans, but there is a cost and time implication there that require an immediate or known return on investment.

The content itself breaks down into a number of categories. Here are the types of content, documents, processes and technologies commonly seen:

Content Types:

  • Paper but Not just paper
  • Email
  • Websites
  • Electronic Documents

Documents Types:

  • Contracts
  • Mortgage Documents
  • Claims
  • Customer Correspondence
  • Healthcare EOBs
  • Proposals
  • Social Media

Business Processes:

  • Simple Search/Locate
  • Analytics/Business Intelligence
  • Customer Service/Sentiment Analysis
  • Case Management
  • Legal Discovery
  • Report Generation

Technologies:

How Can You Use Technology To Extract The Data

Algorithms can infer inherent structure from the text, for instance, by examining word morphology, sentence syntax, and other small- and large-scale patterns. Unstructured information can then be enriched and tagged to address ambiguities and relevancy-based techniques then used to facilitate search and discovery

NLP Difficulties:

  • The lady boarded the plane with bags. (really meant then lady with a bag boarded the plane)
  • The old man the boat. (The boat is manned by the old)
  • The horse raced past the barn fell. (A British reader would interpret as raced past dreadful barn where others would stumble at fell and determine the horse itself fell)

NLP Relationships

As you can see, even using advanced software can have its challenges but as we learn as humans, so does our software.

Software Designed For Your Toughest Document Challenges.

Axis AI, our flagship software solution, has been designed from the ground up to take advantage of various technologies listed above to implement artificial intelligence and machine learning to enable automated advanced data extraction.

Our unstructured data extraction software ascertains patterns from document examples, truth data and sample training, also know as machine learning. Take a look at our product overview to understand how we teach Axis AI to understand your unstructured content extraction requirements and automate the process of information capture and data entry.