Cyber Bullying Detection on Social Media using Machine Learning | Final Year Projects for CSE
Cyberbullying Detection using Deep learning, this project developed using python programming language and Django framework is used for Web Interface. This project is to detect bullying or negative message by sender. this model is trained on particular dataset that contains negative and positive text which indicates 1 or -1. If the text is 1 then this is Neutral text or if the condition is for -1 then this text will contain Cyber Bullying content. In this project it contains web-based chatbot where sender sends message and model will filter that particular messages sent by sender. If sender send negative message then model will detect and gave cyberbullying text detected message or else it will gave neutral message.
Cyberbullying Detection using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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