| dc.contributor.author | Kulathunga, Dewshi | |
| dc.date.accessioned | 2025-06-06T04:13:02Z | |
| dc.date.available | 2025-06-06T04:13:02Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Kulathunga, Dewshi (2024) Identification System for Modern Record Labels and Music Publishers. BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 2019658 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2448 | |
| dc.description.abstract | The digital age has revolutionized the music industry, creating vast textual data from sources like newspapers and online content. This research presents a combined model approach combining natural language processing and machine learning to accurately extract and identify music labels and extract summaries for market analysis and recommendation systems. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Named Entity Recognition | en_US |
| dc.subject | Identification System | en_US |
| dc.title | Identification System for Modern Record Labels and Music Publishers | en_US |
| dc.type | Thesis | en_US |