Attention-Based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-Centric Approach for Aspect-Based Sentiment Classification

Attention-Based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-Centric Approach for Aspect-Based Sentiment Classification

Sentiment analysis is an active research domain of the current era, thanks to its vast applications. The main objective is to classify the polarity of the given text as negative, positive, or neutral. Thus, researchers’ focus shifted towards the aspect or feature-based sentiment analysis...

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Bibliographic Details
Main Authors:	Waqas Ahmad, Hikmat Ullah Khan, Tassawar Iqbal, Saqib Iqbal
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Attention mechanism aspect extraction contextual position information deep learning multi-channel gated recurrent unit part of speech
Online Access:	https://ieeexplore.ieee.org/document/10141608/

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