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 Automated Deep Learning Model for Detecting Sarcastic Comments Subject The topic of the resource deep learning; interpretability; machine learning; sarcasm detection; self-attention; social media analysis; social media data Description An account of the resource The concept of Natural Language Processing is immensely vast with a wide range of fields in which ideas can be explored and innovations can be developed. An algorithm based on deep learning is used to detect sarcasm in text in this paper. It is usually only possible to detect sarcasm through speech and very rarely through text. 1.3 million comments from Reddit were analyzed, of which half were sarcastic and half were not, and then various deep learning models were applied, such as standard neural networks, CNNs, and LSTM RNNs. The best performing model was LSTM-RNNs, followed by CNNs, and standard neural networks came last. With textual data, it is much harder to understand whether the other person is being sarcastic or not, it can only be understood by listening to their tone of voice or looking at their behaviour. The purpose of this paper is to demonstrate how to detect sarcasm in textual data using deep learning models. 2021 IEEE. Creator An entity primarily responsible for making the resource Jose J.; Preethi N. Source A related resource from which the described resource is derived 2021 IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2021 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICMNWC52512.2021.9688410" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC52512.2021.9688410</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729687&amp;doi=10.1109%2FICMNWC52512.2021.9688410&amp;partnerID=40&amp;md5=e81955d1e9fc781ee63a8ee023a40d35" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729687&amp;doi=10.1109%2fICMNWC52512.2021.9688410&amp;partnerID=40&amp;md5=e81955d1e9fc781ee63a8ee023a40d35</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814637-9 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 Jose J., CHRIST University, Department of Data Science, Maharashtra, Pune, India; Preethi N., CHRIST University, Department of Data Science, Maharashtra, Pune, India