This repository contains the code and resources for a project focused on classifying Arabic tweets dialect.
The aim of the project is to develop a machine learning model that can accurately classify tweets written in different Arabic dialects.
The data is a collection of texts in different dialects of the Arabic language.
The texts are collected from different sources, and the dialects are classified
into 5 categories: Gulf, Levantine, North African, Iraqi, and Egyptian. The data
is collected from the following sources:
- https://www.kaggle.com/mksaad/arabic-dialects-texts
To get started with the project, you will need to clone the repository to your local machine:
git clone https://github.com/Elghandour-eng/NLP_Dialects_Classifier
Once you have cloned the repository, you can open the project in your preferred code editor and start exploring the code.
Using Google Cloud for deployment allows developers to easily deploy and scale their applications with high availability and reliability.
With Google Cloud's vast array of services and tools, developers can quickly and securely deploy their applications to a global audience.
https://dialects-classifier-elghandour.de.r.appspot.com/
This project is licensed under the GNU General Public License v3.0.
1- Abdelwahab Elghandour
2- Salma Kishk
3- Yasser Khira
4- Rana Awad
5- Asmaa Ahmed
Thank you for your interest in contributing to our project!
We welcome contributions from everyone.