Home
This Title All WIREs
WIREs RSS Feed
How to cite this WIREs title:
WIREs Data Mining Knowl Discov
Impact Factor: 2.541

Deep learning for sentiment analysis: A survey

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state‐of‐the‐art prediction results. Along with the success of deep learning in many application domains, deep learning is also used in sentiment analysis in recent years. This paper gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis. This article is categorized under: Fundamental Concepts of Data and Knowledge > Data Concepts Algorithmic Development > Text Mining
Feedforward neural network
[ Normal View | Magnified View ]
Recursive neural network
[ Normal View | Magnified View ]
Attention mechanism in bidirectional recurrent neural network
[ Normal View | Magnified View ]
Long short‐term memory network
[ Normal View | Magnified View ]
Bidirectional recurrent neural network (RNN) (left) and deep bidirectional RNN (right)
[ Normal View | Magnified View ]
Recurrent neural network
[ Normal View | Magnified View ]
Convolutional neural network
[ Normal View | Magnified View ]
Autoencoder neural network
[ Normal View | Magnified View ]
Feature hierarchy by deep learning
[ Normal View | Magnified View ]

Related Articles

Top Ten WIDM Articles

Browse by Topic

Fundamental Concepts of Data and Knowledge > Data Concepts
Algorithmic Development > Text Mining

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts