Chapter 5 questions

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Hello everyone,

I am very new to the topic, so sorry if this question is obvious.

I’d like to start working on this task (Chapter 5 - Time to slice and dice):

  1. Use the techniques from Chapter 3 to train a classifier that can predict the patient condition based on the drug review.

Since this label (patient condition) is also a string (I think there are 819 unique conditions), what would be the best approach? I was thinking about tokenizing this field and then use a seq2seq model. Or maybe assign a number to each unique condition

Thanks for the great course!

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