Qarek is a state-of-the-art sentiment analyzer designed specifically for Arabic language text. With Qarek, you can easily analyze the sentiment of any Arabic text and get insights into the emotional tone of the content. Whether you're a business owner looking to monitor customer feedback or a researcher studying public opinion, Qarek can help you understand the sentiment behind Arabic language text. The demo allows users to input Arabic text, and Qarek will quickly analyze and classify the sentiment as positive, negative, or neutral. The user can also view detailed sentiment analysis results, including sentiment score, Qarek is easy to use, accurate, and reliable, making it an essential tool for anyone working with Arabic language text data.

1. First download the demo from that link
   https://drive.google.com/file/d/1BlfkV2wVd96aa72xnCqTgIMxO4UU6HIL/view
2. Dependencies

• To install the required libraries for the demo:

1. Download Dependencies.bat from above

2. Run

3. Replace the file called camel_tools in your PC with in this path "C:\Users\YOUR_USER_NAME\AppData\Roaming " https://drive.google.com/file/d/1fRwFqEpXsJUzFINzwxxbwL_80c1mTPql/view?usp=share_link

4. Enjoy :)

• Watch our video demo here: https://drive.google.com/file/d/11Gd11dVkHHSYUwjIOcPF4nUuGTDq16Nx/view?usp=drive_link
• To determine the sentiment of a sentence or paragraph, input the text into the designated field and then click the انطباعي button.
• To determine the sentiment of a file containing multiple sentences, click the عاوز ملف button and choose your desired file.
• To determine the sentiment of a particular word in a blog , input click the بحث وانطباع button then an input text field will appear, write the desired word in the input field. and provide the blog text in another the input field.

• https://github.com/SssiiiSssiii/ArabicDataset

Made with ❤️ by

• MOHAMED AHMED ABDEL FATTAH
• YOUSSEF HAMADA IBRAHIM
• MOHAMED GHAREEB MOHAMED

Supervisor

• Dr. Azaa Taha