sockit 0.3.0

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.

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 (RIPL) and is deployed in production in the following applications:

• Hawai'i Career Acceleration Navigator
• Career Compass RI

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

Documentation and examples can be found in the GitHub wiki.

The occupuational models that come prepackaged with sockit are built with the 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. Please contact [e-mail] to inquire about commercial use.

Contributors

• Marcelle Goggins
• Ethan Ho
• Nile Dixon
• Mark Howison
• Joe Long
• Karen Shen