Deep Learning for the Extraction of Aspects in Textual Opinions

Deep Learning for the Extraction of Aspects in Textual Opinions

This study aimed to explore the effectiveness of deep learning models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer-based models, and Graph Neural Networks (GNNs), in aspect-based sentiment analysis (ABSA) of textual opinions. The research conducted a...

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Bibliographic Details
Main Author: ALSEREIDI, MOHAMED SOHAIL (author)
Published: 2023
Subjects:
aspect-based sentiment analysis, deep learning, sentiment analysis, natural language processing, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), rule-based methods, textual opinions
Online Access:https://bspace.buid.ac.ae/handle/1234/2762
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