Item taxonomy generation

HI @tomaarsen, I'm working with hierarchical data, specifically item taxonomy data, and my goal is to predict four levels: Product type, Product subtype, Merchandise type, and item type, based on product descriptions and titles. I'm seeking advice on how to prepare the data for this multi-label classification problem while preserving the hierarchical structure. For instance, if the product type is "furniture," the model should classify the product subtype within the furniture category, and similarly for merchandise type and item type. Below is a snippet of the data -

tcin | product_type_n | product_sub_type_n | merchandise_type_n | item_type_n
XYZ | HOME | BEDDING | blankets and throws | Throw Blankets
BCD | HOME | SOFT HOME | rugs, mats and grips | Rugs
PQR | FURNITURE | seating and tables | standalone tables | Console Tables
ABC | HOME | SOFT HOME | rugs, mats and grips | Rugs
EFG | FURNITURE | bedroom furniture | beds and mattresses | Beds

Thanks in advance.