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 Deep learning based model for computing percentage of fake in user reviews using topic modelling techniques Subject The topic of the resource Challenging task; Deep learning; Exhaustivity; Fake review detection; Topic Modelling Description An account of the resource Sentiment analysis plays a vital role in real time environment for knowing the history of a product or any other specific entity. Due to large number of users in the www, chances are there that many fake users may upload the fake reviews to damage the business for the sake of money. Identifying the fake reviews or percentage of fake content in the review is yet a challenging task. In this paper, an attempt has been made to find the percentage of fake in the review data. Two methodologies are combined to address this issue. Concept of spelling checking, topic modelling and deep learning for context extraction is extensively used to build the effective model. Proposed technique is exhaustively checked for efficiency with many trails of experiments. Also, the training and testing samples were shuffled for experimentation. The results of the models show its goodness. The details of the results can be found at experiments section. 2024 The Author(s) Creator An entity primarily responsible for making the resource K S S.; Danti A.; Snehitha Reddy T.; Nath V. Source A related resource from which the described resource is derived e-Prime - Advances in Electrical Engineering, Electronics and Energy, Vol-8 Publisher An entity responsible for making the resource available Elsevier Ltd 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/10.1016/j.prime.2024.100506" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.prime.2024.100506</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189762741&amp;doi=10.1016%2Fj.prime.2024.100506&amp;partnerID=40&amp;md5=01102abbca05bd564fd2f3868d66ef0b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189762741&amp;doi=10.1016%2fj.prime.2024.100506&amp;partnerID=40&amp;md5=01102abbca05bd564fd2f3868d66ef0b</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 27726711 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 K S S., Dept of MCA, PESITM, SHIMOGA, India; Danti A., Christ university, Bangalore, India; Snehitha Reddy T., Research Scholar Department of Electronics &amp; Communication Engineering Birla Institute of Technology, JH, Mesra Ranchi, 835215, India; Nath V., VLSI Design Group, Department of ECE, B.I.T. Mesra, (JH), Ranchi, 835215, India