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 Machine Learning Methods to Identify Aggressive Behavior in Social Media Subject The topic of the resource Cyber-aggressive; Cyber-bullying; Machine learning Description An account of the resource With the more usage of Internet and online social media, platforms creep with lot of cybercrimes. Texts in the online platforms and chat rooms are aggressive. In few instances, people target and humiliate them with the text. It affects victim mental health. Therefore, there is a need of detecting the abuse words in the text. In this paper, a study of machine learning methods is done to identify the aggressive behavior. Accuracy can be improved by incorporating additional features. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Pawar V.; Jose D.V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-490, pp. 507-513. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-19-4052-1_50" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-4052-1_50</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138762847&amp;doi=10.1007%2F978-981-19-4052-1_50&amp;partnerID=40&amp;md5=617410b76e5041817062ebe8cebb464c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138762847&amp;doi=10.1007%2f978-981-19-4052-1_50&amp;partnerID=40&amp;md5=617410b76e5041817062ebe8cebb464c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981194051-4 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 Pawar V., Assistant Professor, Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Research Scholar, Department of Computer Science, Christ Deemed to be University, Bengaluru, India; Jose D.V., Christ Deemed to be University, Bangalore, India