/Offensive-Speech-Detection-using-Machine-Learning-Algorithms

This is a project done on offensive Speech Detection for Afaan Oromo and Amharic Social Media Posts.

Primary LanguageJupyter Notebook

Multilingual Offensive Speech Detection Using Machine Learning Algorithms

This project was undertaken as part of the Foundations of Machine Learning course, instructed by Dr. Denekew Jembere, currently affiliated with Microsoft, to fulfill the course requirements.

Additional description of the project and its features.

Built With

  • Machine Learning
  • Deep Learning
  • Pretrained Word Embedding (Word2vec and fastText)

Getting Started

Do you want to run it locally? Follow the steps

Step 1: Get a local copy of the repo by running the following command in your terminal.

git clone https://github.com/tariktesfa/Offensive-Speech-Detection-using-Machine-Learning-Algorithms.git

Step 2: Go to your folder directory and run the code.

Please use the following link to download the pre-trained word embeddings:

Authors

👤 Tarikwa Tesfa

👤 Naol Bekele

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

  • Everyone who contribute to this project