Music Recommender System using Natural Language Processing and Audio Feature Analysis

Chauhan, Kunal (2022) Music Recommender System using Natural Language Processing and Audio Feature Analysis. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (1MB) | Preview
Preview	PDF (Configuration manual) Download (1MB) | Preview

Abstract

In this research an attempt is made to build a Music Recommendation system which includes both the main features of music i.e. lyrics and audio. The lyrics will be analysed using Natural Language processing technique and sentiment analysis will be done for the recommendation. Also simultaneously audio feature extraction of timbre audio features will be done using libROSA and classification model will be built using machine learning and deep learning models for the genre classification and prediction. CNN is
used for this study as the main classification technique and has yielded the best results.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Ul Ain, Qurrat UNSPECIFIED
Subjects:	M Music and Books on Music > M Music Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	17 May 2023 12:18
Last Modified:	17 May 2023 12:18
URI:	https://norma.ncirl.ie/id/eprint/6572

Actions (login required)

View Item