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 Self-supervised learning based anomaly detection in online social media Subject The topic of the resource Behavioural anomalies; Classification algorithms; Clustering algorithms; Content anomalies; Demonetization; K-means; Logistic regression; Nae bayes; Online social media (OSM); Random forest; Self-supervised; Statistical approaches; Structural anomalies; Support vector machine; TextBlob; VADER Description An account of the resource Online Social Media (OSM) produce enormous data related to the human behaviours based on their interactions. One such data is the opinions expressed and posted for any specific issue addressed in the OSM. Majority of the opinions posted would be categorized as positive, negative and neutral. The lighter group's opinions are termed anomalous as it is not conforming the regular opinions posted by other users. Though, lot of conventional classification and clustering based learning algorithms works well under supervised and un-supervised environment, due to the inherent ambiguity in the tweeted data, anomaly detection poses a bigger challenge in text mining. Though the data is un-supervised, for the learning purpose it is treated as Supervised Learning by assigning class labels for the training data. This paper attempts to give an insight into various anomalies of OSM and identify behavioural anomalies for a Twitter Dataset on user's opinions on demonetization policy in India. Through Self-Supervised learning, it is observed that 86% of the user's opinions did agree to the demonetization policy and the remaining have posted negative opinions for the policy implemented. 2020, Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-13, No. 3, pp. 446-456. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2020.0630.40" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2020.0630.40</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087074036&amp;doi=10.22266%2FIJIES2020.0630.40&amp;partnerID=40&amp;md5=158c71779aa75d1793d4f3d31f49b6d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087074036&amp;doi=10.22266%2fIJIES2020.0630.40&amp;partnerID=40&amp;md5=158c71779aa75d1793d4f3d31f49b6d2</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India