TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models

Felipe Oliveira, Victoria Reis, Nelson Ebecken
12/29/2023
cs.CL

No official code found. Best implementation: Silly-Machine/TuPyE-Expanded-Brazilian-Hate-Speech-Dataset (3 stars, last commit 2024-01-02).

Abstract

Social media has become integral to human interaction, providing a platform for communication and expression. However, the rise of hate speech on these platforms poses significant risks to individuals and communities. Detecting and addressing hate speech is particularly challenging in languages like Portuguese due to its rich vocabulary, complex grammar, and regional variations. To address this, we introduce TuPy-E, the largest annotated Portuguese corpus for hate speech detection. TuPy-E leverages an open-source approach, fostering collaboration within the research community. We conduct a detailed analysis using advanced techniques like BERT models, contributing to both academic understanding and practical applications

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Code Implementations(1)

Silly-Machine/TuPyE-Expanded-Brazilian-Hate-Speech-DatasetCommunity100%

A corpus designed for Portuguese hate speech detection

30Jan 2, 20242 years ago

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Cite this paper

@article{oliveira2023tupye,
  title  = {TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models},
  author = {Felipe Oliveira and Victoria Reis and Nelson Ebecken},
  year   = {2023},
  eprint = {2312.17704},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.17704v1}
}

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