Prediction of Song Popularity Using Machine Learning Concepts

Adit V. Kaneria, Abishek B. Rao, Shivani G. Aithal, Smitha N. Pai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Music plays an essential role in the well-being of many people. It can be therapeutic, motivational and can even unite people. However, not every song has the power to unite large groups of people and make them forget their differences. Each song that is universally acclaimed by the musically proficient and the masses alike has to have certain features that are similar. The aim of this work is to predict if a song will be universally recognized using features and attributes of that song which can be quantified using machine learning. The techniques which provide best accuracy are presented. The application finds use in playing relevant songs to the gathering, enhancement of mood.

Original languageEnglish
Title of host publicationSmart Sensors Measurements and Instrumentation - Select Proceedings of CISCON 2020
EditorsSanthosh K V, K. Guruprasad Rao
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9789811603358
Publication statusPublished - 2021

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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