EBAnO-Ecosystem/Text-EBAnO-Express
T-EBAnO: Explaining deep learning black-box models for Natural Language Processing.
This project helps data scientists and machine learning engineers understand why a deep learning model made a specific prediction on a piece of text. It takes your text data and a trained NLP deep learning model, then outputs clear explanations about which words, sentences, or linguistic features most influenced the model's decision. This is ideal for anyone who needs to build trust or debug their natural language processing models.
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Use this if you need to explain individual predictions of your deep learning NLP models or aggregate these explanations to understand the model's overall behavior.
Not ideal if you are working with non-text data or if you need explanations for traditional machine learning models rather than deep learning architectures.
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Last pushed
Jan 23, 2023
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