HrFlow.ai Product Updates - November 2022

Wafaa Kahoui -

🎁 What's new in HrFlow.ai?

Discover our latest updates for November, keeping you in the loop with our newest innovations and developments.

WHAT'S NEW IN NOVEMBER 2022:

  1. AI Modules:
    1. Profile & Text Parsing API: Improving Multi-lingual Date Parsing
    2. Profile Parsing API: Extending Support to Octet-Stream Media Formats
    3. Text Tagging API: New AI module for Talent & Workforce Data Classification

1. Profile & Text Parsing API: Improving Multi-lingual Date Parsing

We've upgraded our Profile & Text Parsing API to significantly improve multi-lingual date parsing capabilities.

Improving Multi-lingual Date Parsing

😍 Why it’s a big deal for HrFlow.ai users?

This update includes enhanced detection of dates in our 43 parsing languages. Additionally, we've refined our algorithms to recognize:

  • context-specific terms like "today"and its synonyms across multiple languages.
  • End Date of section experiences and educations of the Profile Object.
Read our release note

2. Profile Parsing API: Extending Support to Octet-Stream Media Formats

We are pleased to announce that our Profile Parsing API now supports octet-stream files.

😍 Why it’s a big deal for HrFlow.ai users?

The term octet-stream refers to a generic binary file format used on the internet— case of most of online-generated resumes. It's represented by the MIME type application/octet-stream. This MIME type is used as a default or fallback option when the actual file type of the data cannot be accurately determined by the server or application sending the data.

This situation used to lead to a failure in Profile Parsing, as our system couldn’t properly recognize or process the file without specific format information.

We've updated our Profile Parsing API to handle documents in the octet-stream media format, which often lack proper file extensions. This enhancement ensures seamless processing of many online-generated documents.

Read our release note

3. Text Tagging API: New AI module for Talent & Workforce Data Classification

We are happy to announce our latest AI module for Talent & Workforce Data Classification: Tagging API.

HrFlow.ai Text Tagging API python request

😍 Why it’s a big deal for HrFlow.ai users?

Our users can now automatically categorize and classify HR data (texts, documents, sections, paragraphs) according to a library of Taxonomies.

The Tagging API’s first release includes 4 AI algorithms, called taggers, associated to 4 different taxonomies (dictionaries of predictions):

Tagger Name / Algorithm Key Tagger Prediction / Labels Taxonomy
tagger-rome-family predicts the job family (Grand Domaine) associated to the french national taxonomy.
tagger-rome-subfamily predicts the job subfamily (Domaine) associated to the french national taxonomy.
tagger-rome-category predicts the job category (Fiches Métiers) associated to the french national taxonomy.
tagger-rome-jobtitle predicts the job title (Intitulé de poste) associated to the french national taxonomy.
tagger-hrflow-skills predicts hard and soft skills associated to HrFlow.ai skills graph
The JSON output of the API provides the list of the most likely predictions with associated names, IDs, and probabilities.
Read our release note

❓Community Support

For general help using HrFlow.ai, please refer to the official HrFlow.ai docs.

For additional help, you can use one of these channels to ask a question:

Best wishes,
The HrFlow.ai Team