Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms | Python IEEE Project

Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms | Python Final Year IEEE Project. 🛒Buy Link: https://bit.ly/3KbBGZM (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Project Title: Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms. 💡Implementation Code: Python. 🚀Algorithm / Model Used: LSTM architecture. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.3000/. 📘Project Abstract: 👉The widespread use of social media platforms has led to an increase in incidents of cyberbullying, which can have severe psychological and emotional effects on victims. 👉The aim of this project is to develop a deep learning model to detect instances of cyberbullying in social media posts using Long Short-Term Memory (LSTM) networks. 👉The LSTM model was trained on the preprocessed data, and its performance was evaluated using various metrics, including accuracy, precision, recall, and F1 score. 👉The model achieved an accuracy of 95.6% on the test set, indicating that it can effectively detect instances of cyberbullying in social media posts. 📌REFERENCE: Apoorva K G, D Uma, “Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms”, 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), IEEE Conference, 2022. 🏷️tags: #python #pythonprojects #cyberbullyingprevention #cyberbullying #cybersecurity #cybersecurityproject #cyberbullyingawareness #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorprojects