You might have seen our recent article on Securly, a cloud based web filtering system for schools. Securly allows you to monitor and filter Internet access on desktops, Chromebooks, iPads and more through an entirely web based system.
But as Securly CEO Bharath Madhusudan mentioned in our interview, the company has its sight on broader goals than just web filtering — Securly wants to help you learn about how your students interact in a digital world.
The first big push into this area is Securly’s “emotion analysis engine” which finds and reports incidents of bullying, grief and violence in web searches and social network posts. But Securly doesn’t just flag inappropriate words or content, it intelligently looks at the sentiment within Facebook and Twitter posts and alerts you or to concerning activity.
The ability to first perform natural language processing of free-form posts, searches and tweets, then performing machine learning on keyword relationships seen among previously classified data, and finally applying these learned patterns/relationships to newer data in order to classify the data into specific emotions is a hard problem to solve.
To support this new initiative Securely is running a Kickstarter campaign. If you’d like to see this type of technology further developed please consider supporting them with a small donation.