YouTube (the world-famous video sharing website) maintains a list of the top trending videos on the platform.
“To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year”.
Top performers on the YouTube trending list are music videos (such as the famously virile “Gangam Style”), celebrity and/or reality TV performances, and the random dude-with-a-camera viral videos that YouTube is well-known for.
The dataset we used, comes from Kaggle dataset "Trending YouTube Video Statistics", which was collected using the YouTube API. This dataset is a daily record of the top trending YouTube videos.
Our target is being able to predict if a YouTube video is likely to be trending or not. It is highly useful if you are:
- A Youtuber who wants to make trending videos.
- An advertiser who wants to know the best videos to put advertisements on before they become trending videos.
- A researcher trying to derive insight about behavior from YouTube trends.
For the analysis deliverable, pleack check Youtube-Trending-Video-Analysis.pdf.
If you want to reproduce the analysis process, please follow the serial number to re-run each R Notebook. And the NLP part was saved by jupyter notebook in ./NLP-(jupyter-notebook)/ folder.