HATE SPEECH DETECTION

By Sonam Singh, Shivani Shinde, Subodh Nikumbh, Dhiraj Amin. 2020

41 citations recorded by the source corpus.

Subfields: Sentiment & Opinion Analysis, AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Maarten de Rijke
2. Pengjie Ren
3. Yangjun Zhang

Citations in the corpus

• A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses (2021, methodology): “Pretrained word embeddings, that is, GloVe, have been used in several studies (Arango et al., 2019; van Aken et al., 2018; Zampieri et al., 2019). Two architectures often used are convolutional neural networks (CNNs) (Kim, 2014; X. Zhang et al., 2015) and recurrent neural networks (RNNs) (Lai et al.”