News Prediction And Topic Classification In Tunisia : Arabic NLP

Building a machine learning model to classify news topic in arabic nlp and a deep learning model to predict news number and classify it each day!
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Here's a blank template to get started: To avoid retyping too much info. Do a search and replace with your text editor for the following: github_username, repo_name, twitter_handle, linkedin_username, email, email_client, project_title, project_description

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Built With

• Python
• Sklearn
• Plotly
• Seaborn
• Nltk
• Pandas Profiling

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Getting Started

Nowadays on the Internet there are a lot of sources that generate immense amounts of daily news. In addition, the demand for information by users has been growing continuously, so it is crucial that the news is classified to allow users to access the information of interest quickly and effectively. This way, the machine learning model for automated news classification could be used to identify topics of untracked news and predict which category of news will be posted on a future day and how much of it will be posted.

To get a local copy up and running follow these simple example steps.

Installation

1. Clone the repo

   git clone https://github.com/belhajManel/Bad-News-Prediction-And-Classification-In-Tunisia.git

2. Install Python packages

   pip install pandas
   pip install pandas profiling
   pip install nltk
   pip install sklearn
   pip install plotly

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Usage

Will be updated soon!

For more examples, please refer to the Documentation

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See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Manel BELHAJ - @twitter_handle - [email protected] Mohamed AMARA - @twitter_handle - [email protected]

Project Link: https://github.com/belhajManel/Bad-News-Prediction-And-Classification-In-Tunisia

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