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Through this project I proposed a cyberbullying detection model whereby several model like Naïve Bayes, SVM, DNN model is used. In addition to it , numerous methods of text classification based on Artificial Intelligence were investigated ,This experiment trial test were conducted on a global Twitter dataset which I fetched from Kaggle. The experiment of this model results indicate that through this we achieved the best accuracy and accurate score with minute loss in our dataset, also their classification accuracy and loss are 96.82% and 0.1375, respectively. Future direction is properly based on or we can say working on cyberbully detection in various languages. Also to work on automatic detect from twitter without using the raw dataset.

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As an intrepid explorer driven by the quest for enriching experiences, I boast a robust educational background, holding a Bachelor of Technology (BTech) in Information Technology from Vellore Institute of Technology, Vellore. With extensive exposure to diverse technologies across various industries, I am resolutely committed to seizing every opportunity for growth and innovation. Embracing life's abundance, I am constantly seeking avenues for personal development and expansion. Fueled by a profound belief in the transformative power of knowledge, I am deeply passionate about forging connections with like-minded individuals to collectively contribute to a brighter future. Let's unite our efforts in cultivating a more prosperous and harmonious world for ourselves and generations to come.