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Neural network for string comparison?
There are prices for products. Now category recognition is done on regular expressions, but the products are pre-moderated, the category is checked, and in which case it changes, that is, almost all products with the correct category.
How to recognize categories using a neural network. There is a database with 2 million products, products have links to many to one categories. How to train the network, what algorithms to use?
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Judging by the description, this is a classic classification task, and it is absolutely not necessary to use neural networks - they are not always useful at all, see for example here .
That is, perhaps it makes sense to dig towards the classic ML for text.
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