A tool for natural language processing in python based on scipy and sklearn
Project description
atnlp
A tool for natural language processing in python based on scipy and sklearn.
Current focus is topic labelling. Read the docs for more information.
Technologies
atnlp uses the following technologies:
- conda - datascience platform
- scipy - datascience tools
- sphinx - documentaion
- bumpversion - semantic versioning
- github - software development platform
- travis - continuous integration
Quick start
More details in quickstart docs
Prerequisites
- conda (anaconda / miniconda) - follow the installation instructions for your platform and select python 3 version.
After installing update conda from the conda-forge repo:
conda update conda -c conda-forge
Install (production)
Install atnlp (with pip) and its dependencies (with conda):
wget https://raw.githubusercontent.com/wedavey/atnlp/master/envprod.yml
conda env create -f envprod.yml -n atnlp
conda activate atnlp
Install (development)
Fork wedave/atnlp then install from github:
git clone git@github.com:<your-user-name>/atnlp.git
conda env create -f atnlp/envdev.yml -n atnlp-dev
conda activate atnlp-dev
cd atnlp; python setup.py develop
Running tests
TODO...
Deployment
Start training topic models straight away using scripts, or open a notebook and start hacking.
Versioning
We use SemVer for versioning, implemented through bumpversion. For the versions available, see the tags on this repository.
Authors
- Will Davey - main developer
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
