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 Enhanced Deep Learning Model for Duplicate Question Detection on Quora Question pairs using Siamese LSTM Subject The topic of the resource FuzzyWuzzy; GloVe; Logistic Regression; Quora; Siamese Network; SVM; XgBoost Description An account of the resource The question answering platform Quora has millions of users which increases the probability of questions asked with similar intent. One question may be structured in two different ways by two users, and answering similar questions repeatedly impacts user experience. Manual filtration of such questions is a tedious task, so Quora attempts to detect and remove these duplicate questions by using the Random Forest Model, which is not completely effective. As Quora contains question answers in the form of text data, different Natural Language Processing techniques are used to transform the text data into numerical vectors. In this research, the log loss metric acts as the primary metric to evaluate different models. The primary contribution is that the Siamese network is used to process two questions parallelly and find vectors representation of each question. The vectors computed by this method enables similarity detection which is more effective than existing models. GloVe word embedding is used to understand the semantic similarity between two questions. The random classifier is built as the base model and logistic regression, linear SVM and XGBoost model are used to reduce the log loss. Finally, a Siamese LSTM is proposed which reduces the loss dramatically. 2022 IEEE. Creator An entity primarily responsible for making the resource Chandra M.; Rodrigues A.; George J. Source A related resource from which the described resource is derived IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 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/ICDCECE53908.2022.9792906" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDCECE53908.2022.9792906</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133412242&amp;doi=10.1109%2FICDCECE53908.2022.9792906&amp;partnerID=40&amp;md5=631e1c6ced34879e0e9e2c34248f8b09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133412242&amp;doi=10.1109%2fICDCECE53908.2022.9792906&amp;partnerID=40&amp;md5=631e1c6ced34879e0e9e2c34248f8b09</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548316-2 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 Chandra M., Christ (Deemed to Be University), Department of Data Science, India; Rodrigues A., Christ (Deemed to Be University), Department of Data Science, India; George J., Christ (Deemed to Be University), Department of Data Science, India