From Data Capture To Knowledge Capture With

This article is the first in a short series on natural language processing (NLP) technology and its role in document processing. Over the coming weeks, we’ll continue digging into the innovation behind ABBYY NLP software and some specific business problems that it promises to address.

How Will Change The Way You Manage Information

If you’ve implemented ABBYY OCR software before, you’re acquainted with the accuracy, cost reduction, and simplicity that come from automating data capture. You’ve also wondered what might come next. What could help you automate higher up the value chain, moving from data capture to knowledge capture?

In recent weeks, ABBYY Software has made this next step a reality with the introduction of its solution. By tackling difficult business problems with NLP and AI tools, addresses three challenges that span industries.

1. Classification of any document

Invoices may be accompanied by slips of paper with critical notes. Customers might send screenshots and tweets. Partners provide tables that need to go in a spreadsheet or database. And all of these things require extended manual input to decipher–let alone act on.

We’d all love it if documents filed in neatly, then told us what they are and what we should do with them. But in real life, document intake looks less like a parade and more like a stampede. leverages natural language processing (NLP) technology to classifying incoming documents on the fly, allowing your staff to spend less time filing and more time thinking.

2. Aggregation & deep analytics for customer feedback

A perennial challenge in customer analytics is identifying trends from such disparate sources as feedback forms, social media, surveys, letters, emails, and so forth. It’s tough just to get through that much content, but actually comprehending and summarizing it is a whole other challenge.

ABBYY Natural Language Processing For Document Knowledge Capture reads text much like you and I, but at speeds we can’t even fathom. The combination of NLP innovation and high-performance cloud architecture pulls sentiments and suggestions from millions of customer comments every second, revealing a depth and breadth of feedback that was previously inaccessible.

3. Extraction of knowledge from unstructured text

Speaking of classification and comprehension, does not require consistently formatted, structured data. Quite the opposite: because of its ability to understand meaning and relationships within and between texts, it perceives the latent “structure” of unstructured content and processes it accordingly. This enables knowledge workers to gain deeper, faster insights into challenging and unpredictable data sources.

Information Representation In Natural Language Processing Software

The Role Of NLP In Document Automation

In a sense, natural language processing helps fulfill the automation path that optical character recognition (OCR) began. Of course retains the features that its developer is known for:

  • OCR data capture and document conversion
  • ERP-integrated invoice processing automation
  • Scalable, on-the-fly translation between all major languages

…all in a single, user-friendly dashboard. The real magic, however, is in empowering a content-weary organization to act on a wealth of knowledge.

Different organizations or teams are at different stages of that process. Some have barely begun to address data entry, and other are already digging into vast digital content using the manual methods currently at their disposal. But at any point, it takes an uncommon blend of business process expertise, invaluable partners like ABBYY, and deep technical know-how to deliver lasting value.

At Paperless Productivity®, we strive to bring that rare combination to the table. Whatever your obstacles and objectives, we invite you to learn more about ABBYY’s next-generation document processing technology, and the proven consulting strategy that helps leading firms harness it. Contact us today to learn more.