Predicting product item category in 10 lines of code
Why on earth?
If you somehow deal with storing or processing any kinds of goods – than a problem of assigning a category set to your product items will arise sooner or later, and the problems may be the following:
- You are running a web-store, and you want to facilitate a user to navigate your site and search items with help of categories.
- You have a dataset with items that miss categories mapping, and you want to do some research on aggregated clusters of products.
- You are going to introduce a recommendation system in your online-store, and you want it to take categories into account for more precise predictions.
- All other cases when you need categories, but don’t have them.
Of course – the most straightforward solution is to develop your own categories classification and assign a category to each product item manually, but that’s not always the case – because you may not have a ready-to-use inventory of categories, and you need to do the following:
- create a set of categories by yourself
- assign a suitable category to each item, predicting it from its name.
Gonna do the stuff? Quite hard, isn’t it? But fortunately we have a plan:
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