A Survey of Recent Neural Network Models on Code-Mixed Indian Hate Speech Data
Suman Dowlagar, Radhika Mamidi · Forum for Information Retrieval Evaluation · 2021
In recent years, given the exponential increase in social media content also led to an increase in online hate speech. We need automatic hate speech detection methods due to the volume of data on the web. Various approaches have been proposed to address hate speech and offensive content on social media. This paper surveys how neural-based models have rapidly evolved to address hate speech on multilingual code-mixed data. We discuss the current state of the research in hate speech and offensive language detection on code-mixed Indian datasets.