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.
This exercise is part of the course
Natural Language Processing (NLP) in Python
Exercise instructions
- Initialize a
pipeline
forsentiment-analysis
with the"distilbert-base-uncased-finetuned-sst-2-english"
model. - Use the
pipeline
to classify the sentiment ofreview_text
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
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)