This program is an webapp where the user can upload a document using a text box or a .txt in order to have the contents of the document analyzed by three different algorithms: Term Frequency-Inverse Document Frequency, Part-of-Speech Tagging, and Latent Direchlet Allocation. The documents can be saved in files called "Projects", which will act as a means to organize the documents for a single project if need be. The projects can be accessed later by the user as long as they have created a login.
In order to build this project, you will need to install:
After downloading Python3 and Pip from the websites shown above, you should create a virtual environment, if you do not already have one.
python3 -m venv env
Once you are in the virtual environment, you can install Django (on Ubuntu) using:
pip install Django
If you are still missing any of the dependencies, you can run
pip install requirements.txt
To run the app on your laptop, log into the virtual environment and use the Linux command:
source env/bin/activate
python3 manage.py runserver
Deployment utilized Heroku's deployment platform. The deployment can be found here: Text Penguin
Notes about deployment:
Testing login: username: clubpenguin password: gamecocks
PLEASE LOG OUT AFTER USAGE. ONLY ONE PERSON MAY BE LOGGED INTO ACCOUNT AT A TIME.
To run unit tests, navigate to the directory with the manage.py file and enter command:
python3 manage.py test
Tests will return results automatically, as they've been deesigned with the Django testing capabilities.
All behavioral tests are found in the behavioral_tests folder under the main directory.
All behavioral tests are found in behavioral_tests.py
To run these tests you will need to download:
After your installation is complete, you can run the test using python3 behavioral_tests.py
Name: | Github: | Gmail: |
---|---|---|
Ainsley McWaters | @mcwatera | mcwatera@gmail.com |
Suzie Prentice | @suzanneprentice | suzanneprentice26@gmail.com |
Matt O’Neill | @oneillm71 | matthew.oneill71@gmail.com |