Project overview

  • Implemented a machine learning algorithm designed for detecting cyberbullying content on social networks.
  • Employed machine learning algorithms to train a dataset, enabling a comprehensive understanding of the contextual nuances within statements on social media. This approach goes beyond mere word detection, allowing for the effective segregation of data into Safe for Work (SFW) and Not Safe for Work (NSFW) content categories.