A few months again, I shared our free Transaction Categorization API (v1) right here, it obtained some curiosity the place finance app developer or finance templates might simply entry it to categorize their transactions.
Nevertheless that v1 mannequin was fairly naive (skilled utilizing phrase tokens and random forest classifier), it has relative "low" accuracy. As we’ve got a ardour to construct the most effective correct categorization API, we’ve got invested fairly a while utilizing essentially the most superior language mannequin and embeddings know-how to coach the V2 mannequin, in our check, it vastly improved the accuracy.
I wish to share it right here with you, please strive it out should you discover it helpful in your product.
Easy Check
In V2, listed here are some notable adjustments:
Use essentially the most superior know-how to coach the neural internet mannequin. Wonderful-grained class in return. (130+ classes vs 30+ classes in V1) Enter requires transaction objects (title, service provider, quantity) quite than simply names.
service provider, quantity are non-obligatory however advisable to incorporate for higher accuracy.
Right here is the complete doc in your reference: https://app.fina.cash/doc/vAmbM52OaDgRal?ref=f-tzc8i27v
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