NaSent is a powerful new ’recursive deep learning’ algorithm that gives machines the ability to understand how words form meaning in context. (Sentiment analysis)
The program, dubbed NaSent – short for Neural Analysis of Sentiment – is a new development in a field of computer science known as “Deep Learning” that aims to give computers the ability to acquire new understandings in a more human-like way.
“One of the main things about our approach is to get away from human experts having to create algorithms with so many rules and instructions,” said computer scientist Richard Socher, who developed NaSent in collaboration with Stanford computer science professors Christopher Manning and Andrew Ng, and Christopher Potts, a linguistics professor and Director of the Center for the Study of Language and Information.