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Implement Product Review Sentiment Pre-Built Model [resolves #221] #229

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irmakyucel
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@irmakyucel irmakyucel commented Mar 8, 2021

  • Implement hyperparameter optimization.
  • Use optimized parameters in final model build and cv methods.
  • Use fit instead of partial_fit because PassiveAgressiveClassifier did not work well with partial fit.
  • Update README for 3-fold and 5-fold cross validation scores.
  • Add a test case for load and prediction of product review sentiment prebuilt model.

irmikyucel and others added 2 commits March 8, 2021 17:01
- implement hyperparameter optimiation.
- use optimimied parameters in final model `build` and `cv` methods.
- use fit instead of partial_fit.
@husnusensoy
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can you reimplement the model using icu tokenizer.

@husnusensoy
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Score is too low. Please try to find root cause and use a classifier with predict_proba function

@husnusensoy husnusensoy reopened this Mar 26, 2021
@husnusensoy
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@irmakyucel please do ensure that

  1. you send your pull request to develop branch
  2. You sync your ( by merge ) feature branch with development branch first and resolve conflicts.
  3. @dafajon kindly requesting your support.

@husnusensoy husnusensoy requested a review from dafajon March 26, 2021 20:48
@husnusensoy husnusensoy added the help wanted Extra attention is needed label Mar 26, 2021
@husnusensoy husnusensoy added pending Pending Merge Requests question Further information is requested and removed help wanted Extra attention is needed labels Apr 2, 2021
@dafajon
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dafajon commented Apr 8, 2021

This PR is re-implemented with #238 closing it.

@dafajon dafajon closed this Apr 8, 2021
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3 participants