Tagging using 70k terms
Tagging using 70k terms

Tagging using 70k terms

Hello everyone, đź‘‹

I have an automation need. I can usually figure out what my building blocks would be but here I am stuck.

Query : As input, I have the description of a product or a service like “a software to manage the recruitment process”

In my dataset, I have a hierarchical dataset of 70 000 terms.

I would like to identify the list of terms that are semantically related to that software. For example : recruitment, recruitment services, software, recruiting software, SaaS, software development,…

When I do it manually, I usually go through the hierarchy and end up with about 40 terms.

👉 If I wanted to automate this process, with the best quality of results (obviously) what would the main steps be ?

I understand the difficulty would be to vectorize the whole list, and to define the degree of semantic relation between two terms.

I am not a developer but I have a great interest in nocode: I used n8n to automate workflows using the OpenAI API, I have a good knowledge on how to manage docker to test open source projects, I launched web servers on Ubuntu for my websites, I know how to manage databases, etc. but I am not a “coding” dev.

So I would appreciate if any of the IA solutions can be implemented using APIs so I can just do a workflow in N8N. If not, I’ll (hopefully) figure it out !

Thank you for your input ! 🙏

submitted by /u/joachimbrnd
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