Classicle is a Natural Language Processing project that can classify your article out of five classes: business, entertainment, politics, sport, tech. It is read like classical and it is a portmanteau word -- a blend of classify and article.
Classicle demo is now on my youtube channel
- Clone this project and cd into the classifybutton folder:
$ git clone https://github.com/EzzEddin/classicle.git
$ cd classicle
$ cd classifybutton
- Using python3, run the following:
$ python3 manage.py runserver 127.0.0.1:8002
- Go to the browser and write the server link, in the url, that you specified in the last command
127.0.0.1:8002 - The page you saw at the demo will apear so you can put your article in there to classify.
Install dependencies:
- django
- tensorflow
- keras
- pickle
- numpy
- csv
- wget (optional)
Classicle is a project run on a django server just by clicking on classify button, it will run the python script which has the deep learning model.
The data I used for training and testing is bbc-news articles available here.
The deployment and deep learning model in this project are inspired by Browser-based Models with TensorFlow.js course and Natural Language Processing in TensorFlow course while running the model written in python script by a click on a button at django server is inspired by this blog. I also want to thank my friend Nour for answering my questions whether in development or testing. Thank you, guru.
MIT, Copyright (C) 2020 by Ezz El Din Abdullah