• The objective of this project is to scarp the data from IMDb website and form an analysis that will help data analyst or production company to decide how they are going to proceed with making a new movie, second is to form a model to predict what are the sentiments of movies based on user reviews.

• The Internet Movie Database (IMDb) is one of the world’s most popular sources for movie, TV and celebrity content with more than 100 million unique visitors per month. IMDb has huge collection of movies database that includes various details of movies along with different ratings and user reviews. This movie reviews affects everyone from audience, film critics to the production company.

• Idea of our project is to scarp the data from IMDb and form an analysis that will help data analyst or production company to decide how they are going to proceed with making a new movie, second is to form a model to predict what are the sentiments of movies based on user reviews.

• 3500+ records and has 10 columns.

This page shows the top 10 movies, top genres and number of movies liked and disliked.

This pages displays Sentiment Analysis based on user reviews for each movie along with their other details.

Visualization of Critics ratings for movies.

Distribution of Audience Ratings vs Critic Ratings.

Thank You!

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