Abstract
The acceleration of different social media platforms has alternated the way people communicate with each other it has also ensued in the rise of Cyberbullying cases on social media that has various adverse effects on an individual’s health. In this project, we aim to build a system that tackles Cyber bully by identifying the mean-spirited comments and also categorizing the comments into peculiar division. The target of developing such a system is to deal with Cyber bullying that has become a prevalent occurrence on various social media. The system uses two noticeable features—Convolutional Neural Network and Long Short-Term Memory which improves the efficiency of the system.
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Mukhopadhyay, D., Mishra, K., Mishra, K., Tiwari, L. (2021). Cyber Bullying Detection Based on Twitter Dataset. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_9
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DOI: https://doi.org/10.1007/978-981-15-7106-0_9
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