Dancing body in Edo Kouta - A comparative study for features of Kouta and Buyou Kouta songs using text mining methodology
| Project/Area Number |
24520173
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Study of the arts/History of the arts/Arts in general
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| Research Institution | Meikai University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
MAEDA Toshiyuki 阪南大学, 経営情報学部, 教授 (70320041)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 舞踊小唄 / テキストマイニング / 形態素解析 / クラスター分析 / バイグラム / bi-gram / 小唄 |
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| Outline of Final Research Achievements |
The Object of this study is to unveal of individuality of "dancing body world" through "lyrics world" of Kouta, Japanese ballad-type song. We execute mathmatical analysis using text minig techniques such as cluster analysis for lyric word bi-grams of Edo Koutas and Koutas for dancing. We digitize lyrics of all Koutas and Kouta dictionaries, and the dictionary data are introduced as additional vocabulary of MeCab, a Japanese token analysis system. We extract nouns, verbs, and adjectives from Kouta lyrics and then make up into bi-gram data. We have applied the data for cluster analysis, and realized that normal Koutas and Koutas for dancing are separated as well as Koutas for dancing themselves are separated by song writers.
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Report
(4 results)
Research Products
(3 results)
