Deep Learning Techniques: A Review

Smita D. Raut¹ , S. A. Thorat²

Section:Review Paper, Product Type: Journal-Paper
Vol.8 , Issue.1 , pp.105-109, Feb-2020

Online published on Feb 28, 2020

Copyright © Smita D. Raut, S. A. Thorat . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Deep Learning models are effective due to their automatic learning capability. This review paper highlights latest studies regarding the implementation of deep learning models such as deep neural networks, convolutional neural networks and many more for solving different problems of sentiment analysis such as sentiment classification, cross lingual problems, textual and visual analysis and product review analysis.

Key-Words / Index Term :
Deep Learning, sentiment analysis, recurrent neural network, deep neural network, convolutional neural network, recursive neural network, deep belief network

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