A few months again, I shared our free Transaction Categorization API (v1) right here, it acquired some curiosity the place finance app developer or finance templates might simply entry it to categorize their transactions.
Nonetheless that v1 mannequin was fairly naive (educated utilizing phrase tokens and random forest classifier), it has relative "low" accuracy. As we’ve a ardour to construct one of the best correct categorization API, we’ve invested fairly a while utilizing probably the most superior language mannequin and embeddings know-how to coach the V2 mannequin, in our check, it massively improved the accuracy.
I want to share it right here with you, please strive it out in the event you discover it helpful in your product.
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In V2, listed here are some notable adjustments:
Use probably the most superior know-how to coach the neural internet mannequin. Fantastic-grained class in return. (130+ classes vs 30+ classes in V1) Enter requires transaction objects (title, service provider, quantity) slightly than simply names.
service provider, quantity are non-compulsory however really useful to incorporate for higher accuracy.
Right here is the total doc in your reference:
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