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 Airline Twitter Sentiment Classification using Deep Learning Fusion Subject The topic of the resource Airline Tweets; CNN; Kaggle; LSTM Description An account of the resource Since the advent of the Internet, the way people express their ideas and beliefs has undergone significant transformation. Blogs, online forums, product review websites and social media are increasingly the primary means of distributing information about new products. Twitter, in particular, is giving people a platform to air their views and opinions about a variety of events and products. In order to continually enhance the quantity and quality of their products and services, entrepreneurs constantly need input from their customers. Businesses are always looking for ways to increase the quality of their products and services. As a result, it's tough to understand the consumer's sentiments because of the large volume of data. In this research work, a Kaggle dataset of airline tweets for sentiment analysis was used. The dataset contains 11,540 reviews. We proposed an ensemble CNN, LSTM architecture for sentiment analysis. For comparison of the proposed system, LSTM alone also tested for similar dataset. LSTM was given an accuracy of 91% and the proposed ensemble framework with LSTM and CNN was given an accuracy of 93%. The experiments showed that the proposed model achieved better accuracy when compared to conventional techniques. 2022 IEEE. Creator An entity primarily responsible for making the resource Lakshmanarao A.; Gupta C.; Kiran T.S.R. Source A related resource from which the described resource is derived 2022 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2022 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SMARTGENCON56628.2022.10084207" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SMARTGENCON56628.2022.10084207</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153676669&amp;doi=10.1109%2FSMARTGENCON56628.2022.10084207&amp;partnerID=40&amp;md5=a8b28e75bb1792eaeb4a1d9aa79e9a4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153676669&amp;doi=10.1109%2fSMARTGENCON56628.2022.10084207&amp;partnerID=40&amp;md5=a8b28e75bb1792eaeb4a1d9aa79e9a4c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545499-5 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 Lakshmanarao A., Aditya Engineering College, Department of Information Technology, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, India; Kiran T.S.R., P.B. S College of Arts &amp; Science, Department of Computer Science, A.P, Vijayawada, India