https://github.com/abdulmanaf12/hate-speech-detection

https://github.com/abdulmanaf12/hate-speech-detection

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
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  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: AbdulManaf12
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 7.78 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

Fine-grained multi-lingual hate speech detection by leveraging XAI, LLMs and Transformers

Introduction

Provide a brief description of the project, its goals, and the problem it addresses. Mention the key technologies used.

Table of Contents

Installation

Instructions on how to set up the project: 1. Clone the repository:

git clone [repository URL]

  1. Navigate to the project directory:

cd Hate-Speech-Detection

  1. Install dependencies (if any):

pip install -r requirements.txt

Usage

Provide examples on how to run the project:

python script_name.py --options

Include information about the notebooks included in the Code directory and their purposes.

Dataset Description

Detail the datasets under Dataset Statistics/, how they were curated and their structure: - english_urdu_sindhi_curated_and_translated(full).csv - train.csv - val.csv - test.csv

Model Training

Describe the model training process and directory structure under Model training/. Mention the languages and frameworks used, like BERT and XLM-Roberta for different languages.

Results and Experiments

Discuss the findings and link to any significant experiment notebooks or results stored, such as: - Experiments & Results.gsheet under Hate_VS_Non-Hate/ - Images and graphs stored under results_LLM/

Contributing

Guidelines on how to contribute to the project: 1. Fork the repository. 2. Create your feature branch (git checkout -b feature/AmazingFeature). 3. Commit your changes (git commit -am 'Add some AmazingFeature'). 4. Push to the branch (git push origin feature/AmazingFeature). 5. Open a Pull Request.

License

State the license under which the project is released.

Acknowledgments

Credit any collaborators, third-party resources, or any other acknowledgments.

Owner

  • Name: Abdul Manaf
  • Login: AbdulManaf12
  • Kind: user
  • Location: Sukkur, Pakistan

Deep Learning Engineer

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