CLNov 13, 2018
Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models
arXiv:1811.05145v1200 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for detecting hate speech in social media, specifically targeting code-mixed Hindi-English tweets.
The paper tackled hate speech detection in English-Hindi code-mixed tweets by comparing three deep learning models with domain-specific embeddings, resulting in an improved F-score on a benchmark dataset.
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.