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

Published

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

Keywords

Deep learning, Sentiment analysis, Natural Language Processing.

Citation

Vassilev, A. (2019), Can deep learning save us and itself from the avalanche of threats in cyberspace?, Computer (IEEE Computer), [online], https://doi.org/10.1109/MC.2019.2918391 (Accessed May 29, 2024)

Issues

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Created September 24, 2019, Updated January 7, 2020