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Explaining sentiment classification by generating synthetic exemplars and counter-exemplars in the latent space

License: Apache License 2.0

Python 87.96% JavaScript 12.04%

black-boxes explainable-machine-learning sentiment-classification

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Version of the used libs

Hello!
I found the repository via the link provided in your paper, which is really an interesting work and thanks a lot for sharing.
But I ran into some problems while learning the code. For example, the reconstructed texts do not seem to be similar to the original inputs. Could this be caused by the different running environment?
Following is my setup:

System: Ubuntu 18.04
Python 3.6
Tensorflow: 2.1.0
Keras: 2.3.1
It would be so nice if you can give me some advices.

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