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What does it do?
Our Hybrid Text Analytics (HTA) engine interrogates unstructured text data and delivers evidence-based metrics and actionable insights to your screen. It turns qualitative text data into quantitative tagged data by identifying emotions in the language. It then groups the text into structured and interconnected themes and analyses it with a proprietary set of improvement and innovation filters. In a matter of seconds, the HTA engine delivers the fully tagged dataset to you, either through our versatile user interface, suite of applications, or API.
How does it do it?
AI is very good with numbers but cannot understand human language. That’s why we manually created a set of rules that leverage AI components (Natural Language Processing, Machine Learning, Deep Learning, and Machine Translation) to identify meaning and emotions in text data.
Then we coded our 360+ man-years of Improvement & Innovation expertise into user-deployable algorithms – 100+ filters that automatically pinpoint problem areas and opportunities for value-adding change so you don’t have to.
How does it help you?
With just a few clicks you understand what is being done well, what could be done better, and where and how improvements should be made. It provides granular level evidence of problems you may suspect exist. It reveals unknown blind-spots.
The detail, accuracy, and filtered cross-referencing of the data ensures you’ll be making your best decisions and most informed plans.
There is no faster, cheaper, or more accurate way to extract genuine value from your text data.
Delivered in three ways
And used in many areas
Without our HTA, you’re missing a trick. And here is how utilisation of our HTA is in constant evolution as industries realise the potential benefits.