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The Dataset and the dialect identification problem were addressed by Qatar Computing Research Institute. I implemented a data-scraper, data-preprocessor (Regex and NLTK), data-modeling (SVM with TF-IDF and MarBert using HuggingFace) and deployment using FlaskAPIs locally.

License: The Unlicense

Jupyter Notebook 90.95% Python 6.71% HTML 2.34%
bert-fine-tuning data-scraping flask-api nlp-machine-learning nlp-preprocessing svm-classifier

arabic-dialects-identification's Introduction

Hi ๐Ÿ‘‹, I'm Muhammed Abo Jabal

A Software Engineer, Passionate about Data Science and ML.

jabalov

  • ๐ŸŒฑ Iโ€™m currently learning . AI, Machine Learning and Data Analytics .

  • ๐Ÿ“ซ How to reach me [email protected]

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mohammed abo-jabal jabalov

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