If you already have your categories defined, you might even be able to skip a step and just compare embeddings.
I wrote a categorization script that sorts customer-service calls into one of 10 categories. Wrote descriptions of each category, then translated into embedding.
Then created embeddings for the call notes and matched to closest category using cosine_similarity.
I wrote a categorization script that sorts customer-service calls into one of 10 categories. Wrote descriptions of each category, then translated into embedding.
Then created embeddings for the call notes and matched to closest category using cosine_similarity.