0
$\begingroup$

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!

Improve this question
$\endgroup$
2
  • $\begingroup$ By LIME, do you refer to github.com/marcotcr/lime? $\endgroup$
    – Valentin Calomme
    May 25, 2020 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, 2020 at 15:44

0

Reset to default

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.