This project examines methods to detect the targeted audience and severity of code-mixed/Hinglish(Hindi + English) hate speech in social media while distinguishing this from general profanity. We aim to establish lexical baselines for this task by applying NLP algorithms using our data-set and embeddings for this purpose.
