A Web Tool that allows users to View processed and Analyzed User Feedback Data
A Short Video Detailing the Features Implemented in this Application
View the Demo on YouTube: https://youtu.be/KuDkj9dqLhc
| Technology | Description |
|---|---|
| HTML5 | Hyper Text Markup Language |
| CSS3 | Cascading Style Sheets |
| Python | High Level, Dynamic, Interpreted Language |
| Docker | Open source containerization platform |
| NLTK | Text processing library |
| Spacy | Natural Language Processing Library |
| Pillow | Python Imaging Library |
| Pandas | Data Analysis and Manipulation Library |
| Numpy | Data Analysis and Manipulation Library |
| Vader | Sentiment Analysis Library |
| Matplotlib | Data Visualization Library |
- This Application Allows users to classify and analyze their product feedback.
- The scope and scalalibity of this application is huge in the sense that any user can simply change the input data and be able to use the app
- The feedback is segregated on sentiment analysis, word repetition and Natural Language Processing, etc.
To test the application run the following commands on your terminal:
Running the application locally:
pip install -r requirements.txt
python app.py
On docker:
docker-compose up --build
Pull image from docker hub:
docker pull https://hub.docker.com/repository/docker/talhaabdurrahman/tva
Visit http://localhost:5000 on a Browser to View the App
| Name | Link |
|---|---|
| Talha Abdur Rahman | https://github.com/Talha-Altair |
| Vedha Sankar | https://github.com/VedhaSankar |
| Sandra Ashipala | https://github.com/sajustsmile |
| Owen Munyaradzi Mashingaidze | https://github.com/owenmash19 |
GNU GENERAL PUBLIC LICENSE Version 2, June 1991