Using NLP Techniques for Cyberbullying Tweet Recognition

With rise in usage of internet, cyberbullying is becoming more and more widespread. Cyberbullying has emerged as a pervasive online threat, leading to serious psychological and social consequences for victims. Recognizing and mitigating cyberbullying is a critical societal concern. Cyberbullying has led to significant and devastating consequences, underscoring the urgent necessity for effective detection methods. This study aims to address this need through the application of sentiment analysis and employs a novel approach to leverage Natural Language Processing (NLP) and Machine Learning techniques and detect the instances of cyberbullying within Tweets. The proposed methodology involves processing individual tweets and identifying potential cyberbullying threats for further scrutiny and action.