Data Project: Analyzing Review Sentiment for Accurate Ratings [Part 1] @stratascratch
Data Project: Analyzing Review Sentiment for Accurate Ratings [Part 1]  @stratascratch
Uploaded June 2023 | Updated September 2026, 2 hours ago
Welcome to the second series of the Facebook data science project for predicting movie ratings! In this video, we explore building a high-performance classification algorithm to predict movie ratings. We merge two data sets, focusing on review sentiment to determine whether a movie is labeled as "Rotten" or "Fresh." Join us as we preprocess the data, analyze the distribution of review types, and implement a random forest model. Don't forget to subscribe and stay tuned for the next video in our series!

Go to the project through the link below and follow along with usπŸ‘‡
platform.stratascratch.com/data-projects/rotten-tomatoes-movies-rating-prediction?utm_source=youtube&utm_medium=click&utm_campaign=YT+rotten+tomatoes+s2+p1


Watch the previous videos from the first series:

πŸ“Œ [Part 1]: Exploring and Visualizing Data For A Facebook Data Science Project of Movie Ratings: youtu.be/cM12QtrhdLo

πŸ“Œ[Part 2]: Exploring Decision Tree Classifiers For A Facebook Data Science Project of Movie Ratings: youtu.be/Ih6G5hnn30Q

πŸ“Œ [Part 3]: Random Forest Classifier For A Facebook Data Science Project of Movie Ratings: youtu.be/J4rheMtvu6g
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Timeline:

Intro: (0:00​​​)
Take-home assignment: (0:18)
Approaches review: (0:31)
Preparing the dataset: (1:10)
Using the head method for data review: (2:34)
Encoding the labels into integer representation: (3:45)
Splitting the dataset into train and test sets: (4:30)
Tokenization in NLP: (4:53)
Using a random forest classifier: (6:21)
Improving the model's performance: (7:33)
Take away: (9:24​​)

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About The Platform:

StrataScratch (platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+rotten+tomatoes+s2+p1) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.

So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+rotten+tomatoes+s2+p1. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.

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Contact:

If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com

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Data Project: Analyzing Review Sentiment for Accurate Ratings [Part 1]

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