The year is 2016.
I’m a year older than when I designed the text analytics lecture titled “Fun with Text – Hacking Text Analytics“.
Yesterday, I found myself giving a follow on lecture titled “Fun with Text – Managing Text Analytics”.
Here are the slides:
“Hacking Text Analytics” was meant to help students understand a range text analytics problems by reducing them into simpler problems.
But it was designed with the understanding that they would hack their own text analytics tools.
However, in project after project, I was seeing that engineers tended not to build their own text analytics tools, but instead rely on handy and widely available open source products, and that the main thing they needed to learn was how to use them.
So, when I was asked to lecture to an audience at the NASSCOM Big Data and Analytics Summit in Hyderabad, and was advised that a large part of the audience might be non-technical, and could I please base the talk on use-cases, I tried a different tack.
So I designed another lecture “Fun with Text – Managing Text Analytics” about:
- 3 types of opportunities for text analytics that typically exist in every vertical
- 3 use cases dealing with each of these types of opportunities
- 3 mistakes to avoid and 3 things to embrace
And the take away from it is how to go about solving a typical business problem (involving text), using text analytics.
Enjoy the slides!