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 Rating-Based Cyberbullying Detection with Text, Emojis on Social Media Subject The topic of the resource Cyberbullying Detection; Offensive Rating; Swear Words Dataset; TF-IDF with Random Forest Description An account of the resource In the dynamic landscape of online interactions, cyberbullying has become pervasive, profoundly impacting user's digital well-being. Public figures, especially celebrities and influencers, face heightened vulnerability to online harassment, exacerbated by the post-pandemic surge in social media usage. To address this challenge, our research adopts a holistic approach to detect cyberbullying in text, considering both textual content and the nuanced expressions conveyed through emojis on social media platforms. We employed a diverse set of machine learning and deep learning models, including Support Vector Classifier, Logistic Regression, Random Forest, XGBoost, LSTM, Bi-LSTM, GRU, and Bi-GRU, to accurately classify non cyberbullying or cyberbullying text. Beyond classification, our study introduces an offensive rating system, assigning severity ratings on a 1-5 scale to identify cyberbullying instances. A critical aspect is the establishment of a threshold value which depends on user security and safety ethics of different social media platforms; texts surpassing this trigger an automatic recommendation to block the user, ensuring a proactive response to minimize harm. This recent contribution not only comprehensively addresses cyberbullying but also empowers society. 2024 IEEE. Creator An entity primarily responsible for making the resource Arjun Krishna K.; Jadhav D.; Vijayalakshmi S.; Palathara T.S. Source A related resource from which the described resource is derived 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEECT61758.2024.10739238" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10739238</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211132470&amp;doi=10.1109%2FICEECT61758.2024.10739238&amp;partnerID=40&amp;md5=3e603a4d911a86d94e7d5c3acd1d302f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211132470&amp;doi=10.1109%2fICEECT61758.2024.10739238&amp;partnerID=40&amp;md5=3e603a4d911a86d94e7d5c3acd1d302f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037809-2 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 Arjun Krishna K., Christ University, Department of Data Science, India; Jadhav D., Christ University, Department of Data Science, India; Vijayalakshmi S., Christ University, Department of Data Science, India; Palathara T.S., Christ University, Department of Data Science, India