sockit

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.

PyPI

Version: 0.0.2

Maintainers: 2

Sockit

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.

License

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 connect@ripl.org to inquire about commercial use.

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 .

Contributors

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

FAQs

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