In response to the increasing demand from customers who want to categorize and classify HR data (texts, documents, sections, paragraphs) automatically, we are thrilled to announce our latest AI module: Tagging API.
The Tagging API is a library of pre-built AI algorithms that automatically normalize and classify talent and workforce data, including job titles, skills, and more.
Our first release includes 4 AI algorithms, called taggers, trained to make 4 different types of predictions:
tagger-rome-family: predicts the job family (
Grand Domaine) from any raw input text such as a resume, job offer, job section, or experience, based on the job classification open-sourced by the french government, called "ROME".
tagger-rome-subfamily: predicts the job subfamily (
Domaine) from any raw input text
tagger-rome-category: predicts the job category (
Fiches Métiers) from any raw input text
tagger-rome-jobtitle: predicts the job title (
Intitulé de poste) from any raw input text
revealing: predicts hard and soft skills from any raw input text based on the HrFlow.ai internal knowledge graph.
The JSON output of the API provides the list of the most likely predictions with associated names, IDs, and probabilities.
In the coming month, our team will release more AI algorithms to cover a broader range of use cases.
To integrate this new API, you can check the following documentation: