Live Training: Sentiment Analysis and Prediction in Python

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In this live training, you will build a machine learning model to predict the sentiment of a review using the contents of the review.

We walk through all steps of the machine learning process, from importing the text data, tokenizing and vectorizing the text samples up to training a classifier and evaluating its performance.

Key Takeaways:

• Load in and inspect a csv file with Python

• Tokenize and vectorize text data to build numerical features for prediction

• Build a classifier that can predict the sentiment of a review

• Calculate and assess the performance of a classifier

Materials:

• Sign up for DataCamp Workspace (it's free!)

• Access the starting notebook

• Access the solution notebook

Justin Saddlemyer

Workspace Architect at DataCamp