INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In recent times streaming platforms such as Spotify, Apple music, etc. have become the go to source of music on the go. The main challenge for a new upcoming artist is to make his music reach a wider audience. The proposed system makes use of a machine learning/ deep learning based model to predict if a music would likely break into the top 50 musics globally on streaming services like Spotify . The proposed system will analyze parameters like acousticness, danceability, , time, signature, mode, tempo, valence, time duration , keys to determine the qualities of the ideal musics which is supported by a dataset of the top musics throughout time. The system will offer suggestions for how to make a music better depending on commercial factors. The proposed framework will predict whether or not a music will hit the top 50 or not based on commercial.
"Improving the success of Music on Streaming platforms using Data Science", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.c778-c784, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307277.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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