Metadata-Version: 2.1
Name: sockit
Version: 0.3.0
Summary: Sockit is a natural-language processing toolkit for modeling structured occupation information and Standard Occupational Classification (SOC) codes in unstructured text from job titles, job postings, and resumes.
Home-page: https://github.com/ripl-org/sockit
Author: Mark Howison
Author-email: connect@ripl.org
License: Free for non-commercial use
Classifier: Development Status :: 3 - Alpha
Classifier: License :: Free for non-commercial use
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Human Machine Interfaces
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md

![Sockit](https://github.com/ripl-org/sockit/raw/main/sockit.png)

*Sockit* is a natural-language processing toolkit for modeling structured
occupation information and Standard Occupational Classification (SOC) codes
in unstructured text from job titles, job postings, and resumes.

It is developed by [Research Improving People's Lives](https://www.ripl.org)
(RIPL) and is deployed in production in the following applications:
* [Hawai'i Career Acceleration Navigator](https://hican.hawaii.gov)
* [Career Compass RI](https://recommendations.backtoworkri.com)

You can **test out** *sockit* (without installing it) using a web-hosted
version at:
[https://research.ripl.org/#/sockit](https://research.ripl.org/#/sockit).

**Documentation and examples** can be found in the GitHub
[wiki](https://github.com/ripl-org/sockit/wiki).

The occupuational models that come prepackaged with *sockit* are built with
the [sockit-data](https://github.com/ripl-org/sockit-data/) tool.

## Installation

Requires Python 3.8 or later.

To install the latest **release version** from PyPI using **pip**:

    pip install sockit

To install a **development version** from the current directory of the git
repository:

    pip install -e .

## License

Copyright 2022 Innovative Policy Lab d/b/a Research Improving People's Lives
("RIPL"), Providence, RI. All Rights Reserved.

*Sockit* is freely available for non-commercial use under the license provided
in [LICENSE.md](https://github.com/ripl-org/sockit/blob/main/LICENSE.md).
Please contact [connect@ripl.org](mailto:connect@ripl.org) to inquire about
commercial use.

## Contributors

* Marcelle Goggins
* Ethan Ho
* Nile Dixon
* [Mark Howison](https://mark.howison.org)
* Joe Long
* Karen Shen
