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Topic modelling using RAPIDS and BERT #41
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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Thanks for all the work on this @mayankanand007 . Work looks great.
I have done an inital review and requested changes.
couple of things left, but I think this is good for another round of review 😄 as a lot of code has been refactored. |
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Thanks for working through this. Have requested additional changes.
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Thanks for working through the reviews The PR looks close, have requested some more changes.
Also, ensure that you have run flake8/black
on the test python files aswell.
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Thanks a lot for pushing all these changes through @mayankanand007 as well as testing it on the whole dataset.
I think we are close to completion, have requested very minor changes but we should be good to merge soon.
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Thanks for working on this Mayank. LGTM
Workflow to read a set of documents and extract topics from it leveraging BERT, TF-IDF and NVIDIA RAPIDS.