AKIN Natural Language Processing API

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AKIN NLP Overview

Inspired by the limitations of the most well-known modern technologies, our company has built a truly next-generation platform that takes NLP to a whole new level of intelligence, accuracy, and performance. Compared to other current technologies, AKIN NLP is much more like an intelligent employee, and can significantly augment and automate key workflows in your business. Also, unlike a lot of other current machine learning based technologies, when AKIN does something unexpected, or is not able to accomplish something, it is much more transparent about the "why", allowing users to quickly make targeted improvements to the model that inspire confidence. You can see deeper into the internals of its model to understand what it knows and doesn't know.

To configure AKIN, you feed it knowledge in the form of standardized values of concepts and ideas you want detected and fed to your downstream consuming systems. Additionally, you give it synonymous and related terms for those concepts. AKIN uses this knowledge to make smart determinations about the text you want it to analyze. You don't have to spend hours tagging up thousands of records to "train" it in a haphazard, disorganized way. You directly feed it knowledge in an orderly fashion, and you can always see what it knows and what it doesn't know. Then, AKIN uses its sophisticated probabilistic AI to detect concepts and ideas within the text even when there are a lot of variations in the way something is written, such as spelling and grammatical errors.

We invite you to try some of our online demos below. They illustrate the type of results you can expect from AKIN.

Demo 1 - Medical Model

Think about any sort of data or information your business receives, either verbally, or in written form, that your business would like to use, but can’t until a human being has reviewed it. AKIN NLP can help your business with this information, saving significant time and money, normalizing your processes, improving the consistency of your operations, and providing a significant competitive edge, driving your reputation and customer satisfaction skyward.

For many types of businesses a large amount of information is still collected, bound up, and stored in unstructured or semi-structured text. Every year, business spend enormous amounts of money attempting to successfully manage and extract value from this data, that frequently require manual efforts enhanced by discovery technology that often feels rudimentary and inadequate. This is for good reason.

The problem is that everyone communicates differently. Individuals express their thoughts, ideas, and concepts in so many different, non-standard, unique, and individualistic ways. Exacerbating the problem, people also make mistakes, or speak different native languages leading to unexpected grammatical structures when they write or speak (speech to text). It is not a trivial task to write software capable of recognizing these unique expressions, seeing through the “noise”, and really understanding the meaning of what was expressed. Even the most well-known machine learning algorithms and software today are very easy to fool with just a few small errors or unexpected grammatical structures. It’s also unrealistic to expect your IT department to be able to write software that can be capable of handling every scenario of expression.

What’s needed, is an artificially intelligent (AI) platform and framework that make it extremely easy for business information workers to define and model specific domains of knowledge, ideas, and concepts (entities, sentiments, and intents), and then use that information intelligently to detect those concepts in unstructured text, without the user having to know or predict every possible way those concepts might be expressed. Also, information workers should not be forced to sit and tag or markup thousands and thousands of records in order to "teach" the AI what each of the concepts are. This approach is random and haphazard, making it very difficult to know whether or not every possible scenario has been covered. What is needed, is a straightforward way to directly inject knowledge into a system, and for that system to intelligently USE that knowledge-base on its own without much hand-holding.  This is what AKIN provides.

Examples of Usage Industries & Scenarios

  • Medicine - Augmented Experiences and Research
  • Natural Language Query - Ask questions in everyday language
  • Customer, Partner, and Employee Sentiment
  • Customer Support and CRM Enhancement
  • Product Management - Adapt Quickly to Customer Demands
  • Enterprise Compliance - Intelligent Monitoring
  • Intelligent Search - Search by Idea
  • Surveys & Profiling - Let people write in their own words
  • Law/Discovery & Government

Usage Examples (Code)

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