Skip to content

corbinscahalan/SIADS699-capstone-project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Predicting Popularity for YouTube Cooking Videos

From bloggers to influencers, the creator economy is estimated to be worth more than $104 billion and have grown to 50 million entertainers (Flynn 2022). With 2 billion monthly logged-in users and more than a billion hours of videos watched daily (YouTube 2022), YouTube is a powerhouse for the creator economy that is considered the second most popular website in the world (Similarweb 2022). Some YouTube creators, also known as YouTubers, are able to make millions from advertisement revenue share, brand partnerships, and product placements in their videos (Osborn 2022). Of course, not every video topic generates strong revenue for creators, but cooking is considered a niche on YouTube with one of the highest cost per thousand impressions (Tasty Edits). How do cooking YouTubers gain their viewership, and how do they know whether their videos will be popular? We’ve developed a model that creators can use to predict whether their cooking video will be popular before they upload it.

Read our full report here.

Getting Started

  1. Clone our repo via git clone https://github.com/corbinscahalan/SIADS699-capstone-project.git
  2. Install python package dependencies via pip install -r requirements.txt

Demo Notebooks & Files

The below files show how to extract data and run our models.

  1. YouTube API Data Extraction
  2. YouTube-DL Data Extraction
  3. RNN
  4. CNN
  5. Final Model

Data Access

Data supporting this research are openly available by creating a developer account for YouTube API access and installing youtube-dl for the remaining columns that aren't accessed via the YouTube API. The final datasets generated and used in the original project can be found in our Google Drive.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •