A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media

@inproceedings{Mozafari2019ABT,
  title={A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media},
  author={Marzieh Mozafari and Reza Farahbakhsh and Noel Crespi},
  booktitle={COMPLEX NETWORKS},
  year={2019}
}
  • Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
  • Published in COMPLEX NETWORKS 2019
  • Computer Science
  • Generated hateful and toxic content by a portion of users in social media is a rising phenomenon that motivated researchers to dedicate substantial efforts to the challenging direction of hateful content identification. We not only need an efficient automatic hate speech detection model based on advanced machine learning and natural language processing, but also a sufficiently large amount of annotated data to train a model. The lack of a sufficient amount of labelled hate speech data, along… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES

    Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter

    • Zeerak Waseem
    • Political Science, Computer Science
    • NLP+CSS@EMNLP
    • 2016
    VIEW 12 EXCERPTS
    HIGHLY INFLUENTIAL

    Improving Language Understanding by Generative Pre-Training

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Challenges in discriminating profanity from hate speech

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL