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:
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.
Copyright 2022-2023 Innovative Policy Lab d/b/a Research Improving People's Lives ("RIPL"), Providence, RI. All Rights Reserved.
Your use of the Software License along with any related Documentation, Data, etc. is governed by the terms and conditions which are available here: LICENSE.md
Please contact [email protected] to inquire about commercial use.
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 .
- Marcelle Goggins
- Ethan Ho
- Nile Dixon
- Mark Howison
- Joe Long
- Karen Shen