UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2303639


Registration ID:
510805

Page Number

g259-g262

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Title

EMOTIONS BASE MUSIC RECOMMENDER SYSTE

Abstract

Individuals face stress in their daily lives as a result of a variety of circumstances such as workplace stress, psychological trauma, catastrophe, violence, and so on. Asthma, migraines, anxiety, heart problems, anxiety, asthma, Vascular dementia, and other health risks are exacerbated by stress. Music therapy has the capacity to balance persons' physical as well as mental wellness. Musical therapy is a medical procedure that use music to address the social, physical, and psychological needs of an individual or a group. We wanted to use a machine learning technique called Random Forest to build music categorization and forecast for music therapy. This research considers aspects such as people's motives, education level, and marital status. And their separate relax scales prior to and during music treatment. Our study indicates the main aspects involved in song forecast for music education, and this category achieves an overall accuracy of around 89.

Key Words

Music, Recommendation, prediction, and Machine Learning.

Cite This Article

"EMOTIONS BASE MUSIC RECOMMENDER SYSTE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g259-g262, March-2023, Available :http://www.jetir.org/papers/JETIR2303639.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"EMOTIONS BASE MUSIC RECOMMENDER SYSTE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg259-g262, March-2023, Available at : http://www.jetir.org/papers/JETIR2303639.pdf

Publication Details

Published Paper ID: JETIR2303639
Registration ID: 510805
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: g259-g262
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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