Machine Learning project based on Natural Language Processing for
Tweets Classification about national security at Ecuador.
Explore the docs »
Table of Contents
This project is in development.
- Clone the repository
git clone https://github.com/jpcadena/classification-tweets-national-security-ecuador.git - Change the directory to root project
cd classification-tweets-national-security-ecuador - Create a virtual environment venv
python3 -m venv venv - Activate environment in Windows
.\venv\Scripts\activate - Or with Unix/Mac OS X
source venv/bin/activate - Install requirements with PIP
pip install -r requirements.txt
- Rename file sample.env to .env.
- Replace your credentials into the .env file.
- Execute with console.
python main.py
If you have a suggestion that would make this better, please fork the repo and create a pull request.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Use docstrings with reStructuredText format by adding triple double quotes
""" after function definition.
Add a brief function description, also for the parameters including the return
value and its corresponding data type.
Please use linting to check your code quality
following PEP 8.
Check documentation
for Visual Studio Code
or Jetbrains Pycharm.
Recommended plugin for autocompletion: Tabnine
Distributed under the MIT License.
