Exploring Relatonship between music and mood through machine learning technique
Article No.: 89, Pages 1 - 6
Abstract
The importance of music in our lives is acknowledged, as it can help us feel happy and put a smile on our faces. Studies have shown that music therapy can improve mental health, and the link between mood and music is a crucial area of research. Machine learning is becoming more prevalent in the analysis of large datasets, and it can provide valuable insights. The goal of this study is to analyze the relationship between mood and music by using machine learning techniques. The findings of this research will be used to develop recommendations for individuals seeking therapeutic music. The paper uses machine learning methods to analyze the link between mood and music. It shows how this connection can be utilized to enhance mental health. The study analyzed a large dataset of music tracks and its associated moods. The results of the analysis revealed that certain musical elements, such as key, tempo, and mode, were associated with specific mood. The findings of this study provide valuable insight into the link between music and mood. They can also help develop recommendations for individuals who seek therapeutic music.
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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