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I am exploring the use of lime for spam/ham categorisation. specifically I have a data frame having list of messages. I would need to identify which messages are spam and which ones are ham by using a set of words (100). I would need to find to test the accuracy of the model. I found some articles on towardsdatasciene and medium that helped me a bit, but I would need a really small example on what I would need (already labelled messages? If yes, I should manually label them first, or should I use some algorithm to label them as spam/ham? How could I predict a new message?...).

Any explanation and comment would be greatly appreciated!

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  • $\begingroup$ By LIME, do you refer to github.com/marcotcr/lime? $\endgroup$ – Valentin Calomme May 25 at 15:41
  • $\begingroup$ Yes, but I would be more interested in understanding how to build the dataset that I need, how to get labels For example $\endgroup$ – Dave May 25 at 15:44

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