What we've been trying Jev for is interpreting things like short product descriptions provided by customers, and determine which of the natural language categories fits best.

The list of categories are provided by the government and can change several times a year, and the product descriptions are almost random (think the various titles of AliExpress listings of essentially the same product).

What kind of dedicated classifier would be better? Genuinely curious.