I’m using Intelligent Keyword Classifier to classify main documents (mandatory: invoice OR credit note), supporting documents (mandatory: if invoice is present) & other documents.
I would like to skip data extraction for other documents but throw error for a new document (so that I can retrain).
The document variation is so wide as there are so many vendors. Thus, we’ve thought a few solutions:
- Create a model for ‘others’ taxonomy, then classify all of the other documents. Throw error for a document which is below confidence threshold.
- Create a few models for ‘others’ in taxonomy, then categorise each identified other documents & classify them. Throw error for a document which is below confidence threshold.
What would be the possible drawback in those solutions? Or what would be the best solution for the requirement?
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I have come across the same scenario in one of our projects.
Similar to yours, I also had a wide range of documents that fall under “Other”.
What we did is the first option you have.
We created an entry in Taxonomy for “Other Documents.” We used the Intelligent Keyword Cassifier, and Keyword Classifier for our scenario. This may change according to the complexity of the documents. However, we trained the models with a large number of documents which they provided. We used Keyword Classifier to specify some specific keywords we identified in most of the documents we see under “Other”.
This way, we were able to classify all those under one category. However, in your case, in case you want to have separate "Other’ for different documents, you will need to train them all. But if that is not needed, you can always classify under one type. The only drawback is, you will not be able to find different types of other documents because it is just one “Other” section.
Hope this helps.
Thanks for the response. I’ve been thinking, in your case is there a possibility that the Intelligent Classifier would misclassify the main document as ‘Others’ document?
We had that situation during the initial phases. However, we did a lot of training on thousands of documents, and now it works just fine… We also recently stopped the auto training because it no longer needs training.
Alright. Great feedback. I’ll try to train them using a lot of documents. Thanks.