Revisiting Google app reviews
We're now going to leverage gradient boosting to perform sentiment analysis!
Remember the app ratings dataset from the first chapter? We'll now work with a related dataset for user reviews. This dataset contains the first 100 most relevant reviews for each app. Our goal is to build a model based on these reviews that predicts the Sentiment as being 'Positive'
, 'Neutral'
, or 'Negative'
.
The dataset is available to you as reviews
, and the target here is the 'Sentiment'
column. Explore the data in the IPython Shell, and then select the correct statement from the options below.
This exercise is part of the course
Ensemble Methods in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
