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Description:

atnlp 0.0.11

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