Can deep learning save us and itself from the avalanche of threats in cyberspace?

Published: September 24, 2019

Author(s)

Apostol T. Vassilev

Abstract

I present a computationally efficient and accurate feedforward neural network for sentiment prediction capable of maintaining high transfer accuracy when coupled with an effective semantics model of the text. Experimental results show the advantages of the new approach. Applications to security validation programs are discussed.
Citation: Computer (IEEE Computer)
Volume: 52
Issue: 10
Pub Type: Journals

Keywords

Deep learning, Sentiment analysis, Natural Language Processing.
Created September 24, 2019, Updated October 30, 2019