❓Why❓

Sometimes, you need to label a text to better categorise it. Here are a few examples:

• Is the following offer a fixed-term contract or a permanent one?

Data Insights Corp. is seeking a Senior Data Scientist for a contract-to-direct position. You will be responsible for designing and implementing advanced machine learning algorithms and playing a key role in shaping our data science initiatives. The CDI arrangement offers a pathway to a full-time role

• Which of the French ROME subfamily does this job offer belong to?

🛠️ How to implement 🛠️

🎓

Prerequisites

1. Create an account
2. Activate your account: you need to activate our Text Tagging API
3. API Authentification

You need to use our Text Tagging API.
You may want to use our API in two different cases:

1. 🎨 You need to tag a text with custom tags 🎨

• Set algorithm_key=hrflow-tagger-dynamic
• In context parameter, pass a text that explains all your custom tags.
• In dynamic_labels pass your tags as an array of string

For instance

algorithm_key="hrflow-tagger-dynamic"

context="A Permanent contract is a contract that has no fixed duration. A Fixed-Term contract is a contract that has a fixed duration"

dynamic_labels=["Open-Ended","Fixed-Term"]

In the output, you'll find the tags and the prediction probability.

2. You need to tag a job offer text according to the French ROME classification

• Set algorithm_key value to the granularity in the ROME classification. See API reference