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https://github.com/alex-baransky/my_movie_critic
NYCDSA Webscraping project
https://github.com/alex-baransky/my_movie_critic
Last synced: 3 months ago
JSON representation
NYCDSA Webscraping project
- Host: GitHub
- URL: https://github.com/alex-baransky/my_movie_critic
- Owner: alex-baransky
- Created: 2018-08-03T03:31:54.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-08-10T02:17:39.000Z (over 6 years ago)
- Last Synced: 2024-05-21T02:51:55.361Z (6 months ago)
- Language: R
- Size: 8.13 MB
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# my_movie_critic
My Movie Critic
Author: Alex Baransky
[email protected]
This application is designed to compare ratings you assign to five different movies to the ratings of professional movies critics. This method finds the movie critics whose taste in movies are most aligned with your own!
Unlike other algorithms that simply suggest movies you might enjoy, this application directly suggests real critics who you can follow. This technique adds the advantage of seeing a critic's detailed review of a movie and what they liked or disliked about it. Now you can know why you might like a movie, not just whether or not (for some unknown reason) it might interest you!
I created this application as a project for the NYC Data Science Academy Immersive Data Science Bootcamp. Using the scrapy python package, I extracted the data that the app uses behind the scenes to perform the critic match. This application uses movie review data from RottenTomatoes.com to calculate the matches. The data consists of over 1,000 movies and ratings for each movie from almost 3,500 certified movie critics. The movies include top rated films between the years 2000 and 2018 and only those films that were reviewed by 100 or more critics.
Please feel free to e-mail me with any questions.
https://docs.google.com/presentation/d/1aLzwwOlWCkuokLhDaM1Lwvei66yLtV5oRSjLZT2jYpQ/edit?usp=sharing