Neural Word Decomposition Models for Abusive Language Detection

Understand

User generated text on social media often suffers from a lot of undesired characteristics including hatespeech, abusive language, insults etc.

• that are targeted to attack or abuse a specific group of people.
• Often such text is written differently compared to traditional text such as news involving either explicit mention of abusive words, obfuscated words and typological errors or implicit abuse i.e., indicating or targeting negative stereotypes.
• Thus, processing this text poses several robustness challenges when we apply natural language processing techniques developed for traditional text.