Exercise

Explaining sentiment analysis predictions

You are provided with a model that classifies product reviews as expressing positive or negative sentiment. Your task is to use LIME to identify which words in a given text_instance most influence the model's predictions.

The model_predict function for processing input texts is pre-loaded for you.

Instructions

100 XP

Create a LIME text explainer named explainer.
Generate an explanation for the model's prediction on the given text_instance featuring the top five features.
Display the top contributing words and their weights that influence the model's decision.

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Instructions

Exercise