Offensive Language Detection in Social Media

This project was realized for the Human Language Technologies course and the purpose was to develop an offensive language detector that, given a tweet, can recognize whether it contains offensive content or not.

The dataset used to build the models was obtained from SemEval-2019 Task 6.

Michele Morisco
Michele Morisco
MSc in Artificial Intelligence | Lead Programmer at GlaringBit games | Programmer at B.K. - Brain and Knowledge

My academic interests include Deep Learning, Machine Learning, Computational Healthcare and 3D geometric processing.

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