Python In Practice - 15 Projects to Master Python - Creating the Function to Rate Reviews (In Raw Format)

The video tutorial guides viewers through creating a function to rate comments using natural language processing. It covers feature extraction, TFIDF transformation, and model prediction to determine comment ratings. The tutorial demonstrates how to print comments alongside their ratings, utilizing Python functions and libraries.

What is the primary purpose of the 'rate' function introduced in the first section?

• To calculate the average rating of a product

• To extract features from text and perform TFIDF transformation

• To store user comments in a database

• To display comments in a user-friendly format

Which method is used to apply the TFIDF transformation in the second section?

• calculate_transform

• fit_transform

• transform

• apply_transform

In the second section, what is the next step after performing feature extraction?

• Displaying the features to the user

• Passing the features to the model for prediction

• Ignoring the features and proceeding to the next step

• Storing the features in a database

What function is used to pair comments with their ratings in the final section?

• pair_function

• zip_function

• combine_function

• match_function

In the final section, what is demonstrated with example inputs?

• The calculation of average ratings

• The method to delete comments

• The function to print comments and their ratings

• The process of storing comments