Deep Learning

 

“We see deep learning as a way to push sentiment understanding closer to human-level ability — whereas previous models have leveled off in terms of performance,” says Richard Socher, the Stanford University graduate student who developed NaSent together with artificial-intelligence researchers Chris Manning and Andrew Ng, one of the engineers behind Google’s deep learning project.

The aim, Socher says, is to develop algorithms that can operate without continued help from humans. “In the past, sentiment analysis has largely focused on models that ignore word order or rely on human experts,” he says. “While this works for really simple examples, it will never reach human-level understanding because word meaning changes in context and even experts cannot accurately define all the subtleties of how sentiment works. Our deep learning model solves both problems.”

Here is a live demo of their deep learning algorithm NaSent (Sentiment Analysis)

 

Ref: These Guys Are Teaching Computers How to Think Like People – Wired