A Bi-Directional GRU Architecture for the Self-Attention Mechanism: An Adaptable, Multi-Layered Approach with Blend of Word Embedding

A Bi-Directional GRU Architecture for the Self-Attention Mechanism: An Adaptable, Multi-Layered Approach with Blend of Word Embedding

Sentiment analysis (SA) has become an essential component of natural language processing (NLP) with numerous practical applications to understanding “what other people think”. Various techniques have been developed to tackle SA using deep learning (DL); however, current research lacks comprehensive...

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Bibliographic Details
Main Authors: Amit Pimpalkar, Jeberson Retna Raj
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-07-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
Bi-directional GRU
attention mechanism
deep learning
natural language processing
word embedding
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/11510

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