Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features

碩士 === 國立政治大學 === 資訊科學學系 === 95 === Many studies have indicated that music plays a guiding role of human emotions. In the theory of music therapy, the psychological impact from music is mainly in guiding emotional changes. But, most of the past studies and experiments, which were about the character...

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Main Authors: Shih, Hsum Kang, 史訓綱
Other Authors: 陳良弼
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/85145597726172019418
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spelling ndltd-TW-095NCCU53940342016-05-23T04:18:07Z http://ndltd.ncl.edu.tw/handle/85145597726172019418 Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features 分析音樂特徵尋找將情緒引導至正向之音樂 Shih, Hsum Kang 史訓綱 碩士 國立政治大學 資訊科學學系 95 Many studies have indicated that music plays a guiding role of human emotions. In the theory of music therapy, the psychological impact from music is mainly in guiding emotional changes. But, most of the past studies and experiments, which were about the characteristics and features of music, focus on identifying the emotion of music contents. In this paper, our goal is to find music that leads a person’s emotion to positive side by analyzing music features; we also hope to find out the characteristics and the relationships among music. Before analyzing the music, we define the music features, and use these features to express the contents and the characteristics of music. Using these features to express music, we assume that the songs that guide emotion to similar changes should be similar to each other. After analyzing the music, we found out that if the music features are sequential, the searching result will be more accurate when we want to find some songs that guide human emotions to similar changes. This finding can be used in music therapy to provide the music therapists an alternative way of choosing music. 陳良弼 2007 學位論文 ; thesis 41 zh-TW
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description 碩士 === 國立政治大學 === 資訊科學學系 === 95 === Many studies have indicated that music plays a guiding role of human emotions. In the theory of music therapy, the psychological impact from music is mainly in guiding emotional changes. But, most of the past studies and experiments, which were about the characteristics and features of music, focus on identifying the emotion of music contents. In this paper, our goal is to find music that leads a person’s emotion to positive side by analyzing music features; we also hope to find out the characteristics and the relationships among music. Before analyzing the music, we define the music features, and use these features to express the contents and the characteristics of music. Using these features to express music, we assume that the songs that guide emotion to similar changes should be similar to each other. After analyzing the music, we found out that if the music features are sequential, the searching result will be more accurate when we want to find some songs that guide human emotions to similar changes. This finding can be used in music therapy to provide the music therapists an alternative way of choosing music.
author2 陳良弼
author_facet 陳良弼
Shih, Hsum Kang
史訓綱
author Shih, Hsum Kang
史訓綱
spellingShingle Shih, Hsum Kang
史訓綱
Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features
author_sort Shih, Hsum Kang
title Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features
title_short Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features
title_full Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features
title_fullStr Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features
title_full_unstemmed Finding Music for Leading Personal Emotions to Positive Valence by Analyzing Music Features
title_sort finding music for leading personal emotions to positive valence by analyzing music features
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/85145597726172019418
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