The JobFunClassifier is a Python package designed for NLP-based job function classification.
Project description
JobFunClassifier
Overview
The JobFunClassifier
is a Python package designed for NLP-based job function classification. It helps categorize job positions based on their job descriptions. This tool is particularly valuable for roles that require cross-functional skills, providing insights into the specific job functions involved.
Features
- NLP Classification: Utilizes Natural Language Processing techniques to classify job functions accurately.
- 26 Job Functions: The model includes a comprehensive set of 26 job functions, ensuring a detailed and nuanced categorization.
Why Use This Package?
Understanding the job functions associated with a particular role is essential, especially in cross-functional environments. This classifier streamlines the process, making it easier to grasp the diverse responsibilities of a given job.
Installation
pip install JobFunClassifier
Usage
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for JobFunClassifier-0.7.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ffb175265f2cc2a0a3df0b386da009a5ed80f1bfbb2f99742932abec821475a5 |
|
MD5 | 5bffc28e2a65f20a08b5c60a6303a95b |
|
BLAKE2b-256 | f7345b4e3d8bcfaffee306afc2006ce0c23cc5a01be63a85675f37e3fe9f25b4 |