Preventhate.org | Policyinstitute.net Algorithms An Empirical Study of Offensive Language in Online Interactions (Rochester Institute of Technology)

An Empirical Study of Offensive Language in Online Interactions (Rochester Institute of Technology)

“Content moderators often have to deal with lengthy texts without any word-level indicators. We propose a neural transformer approach for detecting the tokens that make a particular post aggressive. The pre-trained BERT model has achieved state-of-the-art results in various natural language processing tasks. However, the model is trained on general-purpose corpora and lacks aggressive social media linguistic features. We propose fBERT, a retrained BERT model with over 1.4 million offensive tweets from the SOLID dataset.”

https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=11933&context=theses

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