Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Aspect based sentiment analysis using a novel ensemble deep network Subject The topic of the resource Aspect-based sentiment analysis; Ensemble deep network; Graph neural network; Sentiment analysis Description An account of the resource Aspect-based sentiment analysis (ABSA) is a fine-grained task in natural language processing, which aims to predict the sentiment polarity of several parts of a sentence or document. The essential aspect of sentiment polarity and global context have deep relationships that have not received enough attention. This research work design and develops a novel ensemble deep network (EDN) which comprises the various network and integrated to enhance the model performance. In the proposed work the words of the input sentence are converted into word vectors using the optimised bidirectional encoder representations from transformers (BERT) model and an optimised BERT-graph neural networks (GNN) model with convolutions is built that analyses the ABSA of the input sentence. The optimised GNN model with convolutions for context-based word representations is developed for the word-vector embedding. We propose a novel EDN for an ABSA model for optimised BERT over GNN with convolutions. The proposed ensemble deep network proposed system (EDN-PS) is evaluated with various existing techniques and results are plotted in terms of metrics for accuracy and F1-score, concluding that the proposed EDN-PS ensures better performance in comparison with the existing model. 2024, Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Rajan A.; Manur M. Source A related resource from which the described resource is derived IAES International Journal of Artificial Intelligence, Vol-13, No. 2, pp. 1668-1678. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijai.v13.i2.pp1668-1678" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijai.v13.i2.pp1668-1678</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193721372&amp;doi=10.11591%2Fijai.v13.i2.pp1668-1678&amp;partnerID=40&amp;md5=9b65ac301a0655a258a223fa4e4f46f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193721372&amp;doi=10.11591%2fijai.v13.i2.pp1668-1678&amp;partnerID=40&amp;md5=9b65ac301a0655a258a223fa4e4f46f0</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 20894872 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajan A., Department of Computer Science and Engineering, Christ University, Bangalore, India; Manur M., Department of Computer Science and Engineering, Christ University, Bangalore, India