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For this conundrum we will be bringing together results from the previous two fashion review conundrums and using them, along with a handy plugin, to build a model and predict some ratings!
Using the results of Conundrum #17 (processed dataset provided as well if you would like). Create a prediction task for the Rating of the review. There are a few options on how to do this:
After using the plugin you should be able to obtain higher performance in the lab.
You would likely need to combine the datasets containing the sentiment and the embeddings (tip: You can use the the review_id column to create a join).
Bonus: For some pretrained models, a maximum number of characters or tokens might exist. In order to estimate whether we can use the model, compute a custom Python metric in your datasets to probe the maximum number of tokens in the review_text_clean column.
Good luck!
OK, I've met the basic mark on this project. F1 Score of .479.
Features Included.
So this is doable. Let's see how much further folks can go.
Nice work Tom! Thanks for sharing.