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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 An Innovative Method for Election Prediction using Hybrid A-BiCNN-RNN Approach Subject The topic of the resource Convolutional Neural Network (CNN); Election prediction; Natural Language Processing (NLP) Description An account of the resource Sentiment, volumetric, and social network analyses, as well as other methods, are examined for their ability to predict key outcomes using data collected from social media. Different points of view are essential for making significant discoveries. Social media have been used by individuals all over the world to communicate and share ideas for decades. Sentiment analysis, often known as opinion mining, is a technique used to glean insights about how the public feels and thinks. By gauging how people feel about a candidate on social media, they can utilize sentiment analysis to predict who will win an upcoming election. There are three main steps in the proposed approach, and they are preprocessing, feature extraction, and model training. Negation handling often requires preprocessing. Natural Language Processing makes use of feature extraction. Following the feature selection process, the models are trained using BiCNN-RNN. The proposed method is superiorto the widely usedBiCNN and RNN methods. 2023 IEEE. Creator An entity primarily responsible for making the resource Acharjee P.B.; Magadum A.A.; Thejovathi M.; Jain R.; Umarani K.; Nishant N. Source A related resource from which the described resource is derived 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 765-770. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACRS58579.2023.10404211" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404211</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185388377&amp;doi=10.1109%2FICACRS58579.2023.10404211&amp;partnerID=40&amp;md5=7c6e995139838d67dee2419beecddb30" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185388377&amp;doi=10.1109%2fICACRS58579.2023.10404211&amp;partnerID=40&amp;md5=7c6e995139838d67dee2419beecddb30</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034023-5 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Acharjee P.B., CHRIST University, Pune, India; Magadum A.A., Department of MCA, MIT-ADT University, Maharastra, Pune, India; Thejovathi M., Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, India; Jain R., School of Arts &amp; Humanities, IIMT University, Meerut, India; Umarani K., School of Arts &amp; Humanities, IIMT University, Meerut, India; Nishant N., Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India