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Analyzing the sentiment of a review

Your team is building a tool to monitor customer sentiment in product reviews. As a first step, you're testing the sentiment of individual reviews using a pre-trained pipeline.

Questo esercizio fa parte del corso

Natural Language Processing (NLP) in Python

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Istruzioni dell'esercizio

  • Initialize a pipeline for sentiment-analysis with the "distilbert-base-uncased-finetuned-sst-2-english" model.
  • Use the pipeline to classify the sentiment of review_text.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

from transformers import pipeline

# Define the sentiment analysis pipeline
classifier = ____

review_text = "The new update made the app much faster and easier to use!"

# Get sentiment prediction
result = ____

print(result)
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