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Twitter Analytics Dashboard

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

Installation and Usage

  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

Production Deployment

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.