Brief introduction:

This web application developed using Streamlit to analyze and extract sentiments from Arabic tweets using artificial intelligence and Deep Learning. I used CNN as a model to classify tweets (positive/negative).

Dataset Exploration:

Data Preprocessing:

Data before preprocessing:

Data after preprocessing:

Algorithms benchmarking:

Web App Snippet:

🧐 Features

Here're some of the project's best features:

• Classify arabic tweets to either positive or negative

💻 Built with

Technologies used in the project:

• Python
• Streamlit
• Scikit-learn
• Keras