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HMI-Sentiment-Analysis-Intelligent-User-Interface

Project Details:

This project was carried out under a module, Human Machine/Computer Interaction (HMI/HCI), in the Master's Course, High Integrity Systems at Frankfurt University of Applied Sciences. Please find the project report here.

Project Team Members:

Safir Mohammad Shaikh, Kshitij Yelpale, Shubham Girdhar, Gaurav Kapadiya, Pranay Raman

Technologies Used:

  • Language: Python
  • Libraries: NLTK, Keras, Pandas, Scikit-Learn
  • FrontEnd: Python library - Streamlit. PLanning to move application as WebApp with REACT.
  • BackEnd: Flask, SQLAlchemy
  • Documentation: Latex

How to Run?

  1. Clone the Repository and move to Project directory:
git clone https://github.com/kshitijyelpale/HMI-Sentiment-Analysis-An-Intelligent-User-Interface.git
cd HMI-Sentiment-Analysis-An-Intelligent-User-Interface/Project
  1. Run the WebApp.py file:
python3 WebApp.py

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  • Python 58.1%
  • HTML 16.1%
  • JavaScript 12.6%
  • Jupyter Notebook 11.3%
  • CSS 1.6%
  • Shell 0.2%
  • Other 0.1%