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Include functionality to identify bias in the corpus, so that it can be handled before it makes its way into the model training.
Use Case:
Before a corpus is used for model training, biases can be detected and eliminated to prevent the training of a biased model.
Possible Implementation (optional):
WEAT. The user can write a query with a bunch of keywords and association of those keywords are identified via WEAT. Note that first an Embedding model should be trained on this corpus. But this can be done fast, especially using packages like gensim.
Supporting Screenshots/Mockups:
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Additional Context:
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The text was updated successfully, but these errors were encountered:
Feature Request: [Bias Analysis]
Description:
Include functionality to identify bias in the corpus, so that it can be handled before it makes its way into the model training.
Use Case:
Possible Implementation (optional):
WEAT. The user can write a query with a bunch of keywords and association of those keywords are identified via WEAT. Note that first an Embedding model should be trained on this corpus. But this can be done fast, especially using packages like gensim.
Supporting Screenshots/Mockups:
...
Additional Context:
...
The text was updated successfully, but these errors were encountered: