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Cyberbullying remains one of the key public online problems in the modern world, being the second most common cause of mortality and a leading cause of disability, which makes the primary prevention of this disease and its complications extremely important. The purpose of this research is to predict the outcomes of the cyberbullying with the help of the machine learning algorithms. A convolutional neural network was suggested to be coupled with a well designed long short term memory. Also, seven more classifiers were also used as baseline models: logistic regression, random forest, extreme gradient boosting, k-nearest neighbour, artificial neural network, long short-term memory, and convolution neural networks. Utilising a online care dataset that comprises online characteristics of 5,110 individuals, systematic training was conducted. To address data imbalance, minority class synthetic over sampling techniques have been used.
Keywords:
Cyberbullying Detection, Social Media Aggression, Machine Learning Algorithms, Ensemble Learning, Deep Learning Techniques, Predictive Modelling, Feature Engineering, Data Privacy, Online Violence, Social Media Networks, Behavioural Data Analysis, Ethical Challenges, Predictive Analytics, Cyberbullying Prediction Models, Human Behaviour Data, Digital Communication, AI in Social Media, Text Classification, Online Harassment, Big Data in Cyberbullying
Cite Article:
"Big Data Meets Social Media: Predicting Cyberbullying with Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a845-a854, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501101.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator