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A graduation project aims to develop an Arabic sentiment analyzer using Python. Leveraging the capabilities of machine learning and NLP libraries, this program tried to create a robust and efficient tool that can accurately classify Arabic text into positive, or Negative sentiments.

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Sheminho/Arabic_Sentement_Analyzer

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Project overview

Impression is a graduation project aims to develop an Arabic sentiment analyzer using Python. Leveraging the capabilities of machine learning and NLP libraries, this program tried to create a robust and efficient tool that can accurately classify Arabic text into positive, or Negative sentiments.
The development of this sentiment analyzer involves several key steps, including data collection, preprocessing, feature extraction, model training, evaluation and Deployment.

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How to use

  • Watch our demo video here.
  • To analyze the sentiment of a sentence or paragraph, enter the text in the designated field and click the تحليل button.
  • To analyze the sentiment of a file containing multiple sentences, click the ارفع ملف button and select your desired file.

Used Dataset

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Made by

  • Mahmoud Ahmed Shimy
  • Ahmed Gamal Abdallah
  • Machael Naeem Khalaf

Supervisor

  • Dr. Azaa Taha

Installation

  1. First download the Program
  2. Click انطباع to run the program
  3. Enjoy

About

A graduation project aims to develop an Arabic sentiment analyzer using Python. Leveraging the capabilities of machine learning and NLP libraries, this program tried to create a robust and efficient tool that can accurately classify Arabic text into positive, or Negative sentiments.

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