Infotube-A Study of Youtube Trends

Authors

  • Alisha Alisha G. T. B. I. T., GGSIPU, New Delhi, India Author
  • Mamta Mittal G. T. B. I. T., GGSIPU, New Delhi, India Author
  • Sanjot Kaur G. T. B. I. T., GGSIPU, New Delhi, India Author
  • Tavleen Kaur G. T. B. I. T., GGSIPU, New Delhi, India Author
  • Avneet Singh Malhotra G. T. B. I. T., GGSIPU, New Delhi, India Author

Keywords:

K-means Clustering, Agglomerative Clustering, Python, YouTube, Social media, YouTube data API.

Abstract

In today’s technological world, social media serves as a mirror for analyzing the behaviour of people, especially the youth. The analysis of choices and likes becomes the foundation for industries for further product developments and helps them to survive competition. In this paper, we present a detailed procedure for analyzing YouTube trends by the application of machine learning algorithms on trends, and by comparing the results produced by two machine learning algorithms. In this paper, the various YouTube trends have been analyzed and hidden information has been extracted based on user statistics.

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Published

2017-12-31

Issue

Section

Articles

How to Cite

Infotube-A Study of Youtube Trends. (2017). International Journal of Current Engineering and Technology, 7(6), 2025-2028. https://ijcet.evegenis.org/index.php/ijcet/article/view/2570