This paper reports an increment to the state-of-the-art in hate speech detection for English-Hindi code-mixed tweets. We compare three typical deep learning models using domain-specific embeddings. On experimenting with a benchmark dataset of English-Hindi code-mixed tweets, we observe that using domain-specific embeddings results in an improved representation of target groups, and an improved F-score.
@article{arxiv.1811.05145,
title = {Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models},
author = {Satyajit Kamble and Aditya Joshi},
journal= {arXiv preprint arXiv:1811.05145},
year = {2018}
}
Comments
This paper will appear at the 15th International Conference on Natural Language Processing (ICON-2018) in India in December 2018. ICON is a premier NLP conference in India