Businesses communicate with their customers and partners across multiple platforms and in an increasingly diverse way, to offer the best service possible.  As a result, they can face the challenge of processing large amounts of unstructured and semi-structured information from sources such as correspondence, email messages, reports and web-based content such as reviews and social media posts.

If you have business processes that involve the review of unstructured information like this, then you should find the latest capabilities for Natural Language Processing (NLP) of interest.  There is a significant opportunity for those looking at automation and robotics for the first time, and for existing customers using Kofax KT, to increase productivity gains by considering this area. Encompassing Kofax Capture, Kofax Transformation Modules and Kofax Total Agility, the Kofax Transformation (KT) platform ensures that all customers, old and new, are able to take advantage of the latest features.*

Natural Language Processing (NLP) in Kofax KT

With their latest release, Kofax has introduced Natural Language Processing (NLP) capabilities. As the name suggests, this provides users of Kofax Transformation solutions with the ability to understand more of the underlying meaning within a document, extracting valuable information from any natural language text-based asset in real-time.  This enables customers to understand unstructured content in an automated manner and derive value to determine appropriate next step and actions – drastically improving productivity and efficiency and delivering valuable insight.

So, what are these capabilities?

* Sentiment Analysis

* Named Entity Extraction

Sentiment Analysis is not a new concept but it is a very welcome addition to Kofax Transformation. Sentiment analysis allows organisations to understand the intent and emotion of information held within unstructured data. Typically, these algorithms are used to analyse the content of correspondence in order to determine and report on the strength and direction of opinion. The algorithm is delivered as a standard Kofax Transformation “locator” making it more straight-forward to implement and it can be configured to work on the entire document or simply an area within it.

Named Entity Extraction allows organisations to easily locate “People, Places and Things” from unstructured content.  Kofax Transformation already has a good selection of locators that technicians can utilise to pull structured data-sets from unstructured documents. Named Entity Extraction, however, simplifies the process further to extract data that may have previously been considered unviable due to factors such as development time, accuracy or complexity.

Specific Named Entities that work out of the box include person’s names, addresses, currency amounts, names of countries and dates expressed in free formats. Again, to ease deployment and reduce project time, Kofax has implemented these as standard Transformation “locators” that will be welcome news to customers and developers alike.

So, who and how will these additions help?

For existing customers, Kofax Transformation with NLP can be used to address new requirements or, simply to enhance an existing project, further increasing efficiency.

For new customers or projects, these capabilities may increase the scope of documents that you want to automate, and improve productivity gains, whilst potentially reducing deployment time as well.

Foreseen benefits include:

  • Improved customer service and loyalty
  • Monitoring of social media trends and customer opinions
  • The ability to locate, analyse and interpret text-based assets
  • Enhanced decision making with a greater understanding of intent

Overall, the additional capabilities offered by this release will help organisations glean greater insights from any type of content, react quicker to customer needs and deliver a significantly better experience.  For processes / tasks where productivity gains are essential, these capabilities can make a very positive contribution.

How can we help you?

If you’d like to learn more about Natural Language Processing or any aspect of document automation, then please contact us.  Our team of experts are always happy to discuss the latest technology and how it may be beneficial to your business. Even the briefest conversation may open up new opportunities for you and your team.

*Applicable to KTM 6.3.1 upwards and KTA 7.7 upwards.

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