University of Bahrain
Scientific Journals

Analysis of Nigeria’s Top Ten Song Lyrics Using Natural Language Processing Techniques

Show simple item record

dc.contributor.author Ebiesuwa, Seun
dc.contributor.author Awoniyi, Tolulope
dc.date.accessioned 2024-05-19T15:36:12Z
dc.date.available 2024-05-19T15:36:12Z
dc.date.issued 2024-05-19
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/5687
dc.description.abstract The inclusion of lyrics in music enhances its depth and significance by providing a medium for songwriters to express their thoughts, emotions, and experiences. This study aims to analyze the lyrical content of the top 10 Nigerian songs on Spotify using natural language processing techniques. Music consumption platforms such as Spotify play a pivotal role in shaping musical preferences and cultural influences. As the Nigerian music industry continues to thrive, understanding the lyrical content of the top 10 songs on platforms such as Spotify becomes essential. This study examines the top 10 songs Nigerian weekly music chart on November 1 2023 to ensure that the analysis is relevant and reflective of current trends in contemporary music. By exploring the linguistic richness, cultural nuances, and emotional expressions embedded in the lyrics, this study seeks to provide an insightful understanding of how Nigerian music is evolving on a global streaming platform. The methodology involves systematic data collection, thorough text preprocessing, and the use of natural language processing (NLP) tools. Most songs showcased a positive sentiment, focusing on themes such as celebration, joy, and empowerment. Love and optimism were also prominent elements of the lyrical content. Sample generated lyrics that resemble the style of the song were presented. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject DA, LDA techniques, Lyrics, music, Natural language processing, Sentiment analysis. en_US
dc.title Analysis of Nigeria’s Top Ten Song Lyrics Using Natural Language Processing Techniques en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/XXXXXX
dc.volume 16 en_US
dc.issue 1 en_US
dc.pagestart 1 en_US
dc.pageend 9 en_US
dc.contributor.authorcountry Nigeria en_US
dc.contributor.authorcountry Nigeria en_US
dc.contributor.authoraffiliation Department of Computer Science, Babcock University en_US
dc.contributor.authoraffiliation Department of Computer Science, Babcock University en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


Files in this item

This item appears in the following Issue(s)

Show simple item record

All Journals


Advanced Search

Browse

Administrator Account