Skip to Main Content
Keywords: Bi-LSTM
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

High accuracy offering attention mechanisms based deep learning approach using CNN/bi-LSTM for sentiment analysis

Available to Purchase
Venkateswara Rao Kota, Shyamala Devi Munisamy
Journal: International Journal of Intelligent Computing and Cybernetics
International Journal of Intelligent Computing and Cybernetics (2022) 15 (1): 61–74.
https://doi.org/10.1108/IJICC-06-2021-0109
Published: 05 October 2021
...Venkateswara Rao Kota; Shyamala Devi Munisamy Purpose Neural network (NN)-based deep learning (DL) approach is considered for sentiment analysis (SA) by incorporating convolutional neural network (CNN), bi-directional long short-term memory (Bi-LSTM) and attention methods. Unlike the conventional...
View article titled, High accuracy offering attention mechanisms based deep learning approach using CNN/bi-LSTM for sentiment analysis
Open the PDF for High accuracy offering attention mechanisms based deep learning approach using CNN/bi-LSTM for sentiment analysis in another window
Add to Citation Manager for High accuracy offering attention mechanisms based deep learning approach using CNN/bi-LSTM for sentiment analysis
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal