Support for custom vectorization in LimeTextExplainer

Open TheLastProgramer opened this issue 3 years ago • 2 comments

I have noticed that inside Lime Text Explainer, correct me if I am wrong, original text and its perturbed data is converted to binary vector form and there after the distance metric is used to calculate the distance between them. Can we use word embeddings to vectorize the perturbed data and then calculate the cosine distance between them? Will it make any difference if we calculate distances using embeddings rather than default that is currently used?

Jun 22 '22 07:06 TheLastProgramer

Is there any information/update that can help?

Jul 14 '22 07:07 TheLastProgramer

Any updates?

Aug 12 '22 05:08 TheLastProgramer