Does Natural Language Processing Work with Advanced Analytics?
Natural Language Processing (NLP) is a trend that has taken over technology. Vendors are applying this technique to all types of searching and Advanced Analytics is no exception.
Tag: Natural Language Processing
The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.
Does not look like a technical heading? It is as serious as my other stuff. And I have forgiven the definition of technical for being ambiguous. The problem for working in a Clickless world starts with the meaning as meant in the input. So, a simple phrase “come on George” Could mean multiple things. A classic problem which the bot engine developers are resolving by using patterns and machine learning. “Come on” said by a mother, boyfriend, boss, colleague, store keeper, the barista could mean entirely different things at different times depending on the previous sentences.
Gartner recently released a paper on Augmented Analytics which is described as “An approach that automates insights using machine learning, and natural-language generation.”
So as a gyani disseminating free gyan on the internet, I have chosen to write a few words on this.
This blog post of mine is an extremely biased and opinionated post. This is because any attempt to be fair and unbiased would not be thought provoking. We believe in clickless analytics and path to that includes learning and responding, predicting and suggesting, warning and solving. So, some of the points in this article may sound contrary to these but are not.
I am going to be blatantly trumpeting of our products, its road map and its usage in this article, and you are likely to get more value out of this than a book on analytics. My guess is that you will read ahead since you are a sceptic.
One of the things which cause distress in a lot of activities is the click. We have to point and click. You can use your mouse, or finger or your nose if the hands are busy, but you have to click. Point and click was a solution invented for a purpose which we have extended to all areas of life. Since we work in the world of data science and analytics, I will restrict my discussion to this, though I have a plenty of opinion in the other areas.
