An Improved Model for Analyzing Textual Sentiment Based on a Deep Neural Network Using Multi-Head Attention Mechanism

An Improved Model for Analyzing Textual Sentiment Based on a Deep Neural Network Using Multi-Head Attention Mechanism

Due to the increasing growth of social media content on websites such as Twitter and Facebook, analyzing textual sentiment has become a challenging task. Therefore, many studies have focused on textual sentiment analysis. Recently, deep learning models, such as convolutional neural networks and long...

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Bibliographic Details
Main Authors: Hashem Saleh Sharaf Al-deen, Zhiwen Zeng, Raeed Al-sabri, Arash Hekmat
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied System Innovation
Subjects:
deep learning
analyzing textual sentiment
recurrent bidirectional long short-term memory unit
convolutional neural network
multi-head attention mechanism
Online Access:https://www.mdpi.com/2571-5577/4/4/85

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https://www.mdpi.com/2571-5577/4/4/85

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