Deep Learning Based Weighted Feature Fusion Approach for Sentiment Analysis

Deep Learning Based Weighted Feature Fusion Approach for Sentiment Analysis

Deep learning algorithms have achieved remarkable results in the natural language processing(NLP) and computer vision. Hence, a trend still going on to use these algorithms, such as convolution and recurrent neural networks, for text analytic task to extract useful information. Features extraction i...

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Bibliographic Details
Main Authors: Mohd Usama, Wenjing Xiao, Belal Ahmad, Jiafu Wan, Mohammad Mehedi Hassan, Abdulhameed Alelaiwi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolution neural network
recurrent neural network
feature fusion
feature learning
sentiment analysis
Online Access:https://ieeexplore.ieee.org/document/8827512/

Internet

https://ieeexplore.ieee.org/document/8827512/

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