Author : Alisha, Mamta Mittal, Sanjot Kaur, Tavleen Kaur and Avneet Singh Malhotra

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.

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

Article published in International Journal of Current Engineering and Technology, Vol.7, No.6 (Nov/Dec 2017)