Audio Hit Analyzer

Rasara, Jayami

dc.contributor.author	Rasara, Jayami
dc.date.accessioned	2025-06-09T08:55:37Z
dc.date.available	2025-06-09T08:55:37Z
dc.date.issued	2024
dc.identifier.citation	Rasara, Jayami (2024) Audio Hit Analyzer. BSc. Dissertation, Informatics Institute of Technology	en_US
dc.identifier.issn	2018115
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/2488
dc.description.abstract	The Audio Hit Analyzer project aims to provide a comprehensive framework that predicts audio track success using machine learning. This project attempts to solve audio hit prediction using varied data sources and innovative modelling techniques to help artists, producers, and music business stakeholders make data-driven decisions.	en_US
dc.language.iso	en	en_US
dc.subject	Audio Hit Prediction	en_US
dc.subject	Listener Engagement	en_US
dc.subject	Sentiment Analysis	en_US
dc.title	Audio Hit Analyzer	en_US
dc.type	Thesis	en_US