This project was an interactive dashboard based on user feedback on the product based on about 3.5 GB of Twitter data in Persian and English. 🐦

• Exploratory Data Analysis
• Sentiment Analysis
• Topic Detection
• Named Entity Recognition

1. Clone the repo by $ https://github.com/AUT-Twitter-Analytics/Streamlit-Dashboard.git

2. Go to cloned directory and create a virtual environment $ python3 -m virtualenv venv

3. Activate the virtual environment using $ source /venv/bin/activate

4. Install the requirements using $ pip3 install -r requirements.txt

5. Run project using $ streamlit run app/app.py

6. You can now view your Streamlit app in your browser.

   Local URL: http://localhost:8501
   Network URL: http://192.168.88.17:8501

Check out our project here. Streamlit sharing lets you deploy, manage, and share your apps – all for free! If you have a Streamlit app hosted publicly on GitHub, you are now one click away from sharing it with the world.