PREDICTING THE POPULARITY OF A YOUTUBE TRENDING VIDEO
DOI:
https://doi.org/10.24867/30BE11LekicKeywords:
popularity prediction;, neural networks;, Computer VisionAbstract
With the rise in popularity of social networks and video sharing platforms, predicting video popularity has become important for content creators, marketers and advertisers alike. In this paper, we investigate various factors that influence the popularity of a YouTube trending video, such as the number of likes, the number of dislikes, the number and sentiment of comments, the title of the video itself, the image of the video, as well as the characteristics of the author or his YouTube channel.
References
[1] VADER https://vadersentiment.readthedocs.io/en/latest/
[2] TextBlob. https://textblob.readthedocs.io/en/dev/
[3] YouTube Trending Video Dataset (updated daily): RISHAV SHARMA. Available: https://www.kaggle.com/datasets/rsrishav/YouTube-trending-video-dataset
[2] TextBlob. https://textblob.readthedocs.io/en/dev/
[3] YouTube Trending Video Dataset (updated daily): RISHAV SHARMA. Available: https://www.kaggle.com/datasets/rsrishav/YouTube-trending-video-dataset
Downloads
Published
2025-04-04
Issue
Section
Electrotechnical and Computer Engineering
