Predicting Cyberbullying in Tweets Using Machine Learning Techniques
Katam Reddy Varun Kumar Reddy, N. Sreeram Charan, V. Aakash, Shaik Moinuddin Imran, Ms. Sapna R · International Journal of Research Publication and Reviews · 2023
The proposed project aims to address the escalating concern of cyberbullying on social media platforms by utilizing machine learning classification algorithms, such as Support Vector Machine, to mitigate its effects.To improve the accuracy of the solution, the project will leverage the Natural Language Toolkit to extract features including bigrams, trigrams, n-grams, and unigrams.To evaluate the efficacy of this approach in detecting cyberbullying in tweets, a comparison will be conducted against baseline features and alternative machine learning algorithms.However, it is crucial to consider ethical implications when employing machine learning algorithms to minimize false positives and safeguard innocent individuals from potential harm.In essence, this project holds promise in advancing the development of robust tools for identifying and preventing cyberbullying on social media platforms, a pressing issue in our modern digital era.