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.
Nice work Tom! Thanks for sharing.