Are there ready-made solutions for the semantic analysis of goods and their categorization in an online store?

Question

PHP

There is an online store, it has many thousands of products.
There are categories.
It is necessary to scatter these products into categories, depending on the description and name.
Let's say there is a name "men's shorts", the description says something else, like "blue summer shorts". I pulled out this data and fed it to the script, which I returned from the finished list of categories (I also give them for analysis) 2-3 most suitable - "men's clothing" and "shorts".
Are there ready-made solutions for this script? I don't want to reinvent the wheel.

Answer 1

I made it so that, based on the products already sorted into categories, I determined where to put the next product without a category.
Since it was possible to judge only by the name of the product, I found the most similar prefix among the products that are already in the categories.
The method requires training, i.e. approval/disapproval of the choice.
It turned out to be more effective than manual work.