Cyberbullying Detection: An Integrated Natural Language Processing and Machine Learning Approach for Cybersafety
Type
Thesis
Authors
Category
e-format
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Publication Year
2024
Publisher
Pages
38
Subject
COMPUTER SCIENCE
Tags
Abstract
The project aims to develop a real-time cyberbullying detection system using machine learning to detect unsafe content. The system uses classified data from the UCI machine learning repository, two deep-learning models, and six traditional classifiers.
Description
FInal Year Capstone
Number of Copies
1