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 may 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 one of the best correct categorization API, we’ve got invested fairly a while utilizing probably the most superior language mannequin and embeddings expertise to coach the V2 mannequin, in our take a look at, it vastly improved the accuracy.

I want to share it right here with you, please attempt it out in case you discover it helpful on your product.

Easy Take a look at

In V2, listed below are some notable adjustments:

  1. Use probably the most superior expertise to coach the neural internet mannequin.
  2. Fantastic-grained class in return. (130+ classes vs 30+ classes in V1)
  3. Enter requires transaction objects (identify, service provider, quantity) slightly than simply names.

service provider, quantity are elective however really helpful to incorporate for higher accuracy.

Right here is the total doc on your reference: https://app.fina.cash/doc/vAmbM52OaDgRal?ref=f-tzc8i27v

submitted by /u/columns_ai
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