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Big Data Analysis for Dance Studies Using Text Mining
텍스트 마이닝을 기반으로 한 무용학 자료의 빅데이터 분석
DOI:10.26861/sddh.2016.42.191Asian Dance Journal
Vol.42
pp.191-212
The purpose of this study is to develop interdisciplinary research between dance studies and big data analysis. To this end, the text mining technique, which extracts meaningful information from text, was adopted as the research methodology. In the process of text mining, original PDF texts on the themes of Chum/Muyong(dance), morphological analysis, user dictionary construction, and social network analysis were collected to extract significant named entities and clarify the relations between them. The outcomes of the process, which comprised the extracted text data (total 10,231 copies), a named entity classification table, and a network of named entities, were loaded into the big data analysis system under development. The findings of the study are as follows: First, there were 25 total morpheme types, with 24,691 words with a frequency of more than 100. From these, a second morphemic analysis of sentences containing words such as “Chum” (춤), “Mu” (무), and “dance” (댄스) was conducted. It was revealed that in parts of speech with a frequency of 10 or more, there were 3,057 nouns, 602 proper nouns, 352 verbs, 205 numbers, 135 adjectives, and 35 adverbs. Second, a user dictionary was developed in the form of a taxonomy with stratification between hyperonym and hyponyms. The dictionary contained 2,404 words, which were classified by theme, person, dance piece, genre, theory, function, element, and period. Third, social network analysis revealed that the terms “Muyong,” “Chum,” and “arts and culture” were closely interconnected at the heart of the network. In contrast, dance deviated somewhat from the center. “Dance” was the only word to be connected with the network of dance sports and jazz. This study is significant because it represents the first attempt to apply text mining to written records on dance. In addition, it could suggest ways to expand the use of big data analysis to dance studies. Based on the study, a big data analysis system that is specialized in dance was developed, and the contents will be updated continuously.
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New Understanding of Documenting Dance Studies : Exploring the Features and Methods of Dance Ekphrasis
무용기록학의 새로운 인식 : 무용 에크프라시스의 개념 및 방식에 대한 시론
DOI:10.26861/sddh.2018.49.009Asian Dance Journal
Vol.49
pp.7-31
In this study, we investigated the characteristics and methods of dance ekphrastic. We take a look at the concept of ekphrasis and then looked into the notion of ekphrasis in dance. Ekphrastic dance takes into consideration the historical, political and cultural context of the piece whilst interpreting its content. Ekphrasis accompanies dance studies, making intermediality an inherent part of the discipline. There have been few studies on ekphrastic dance, or the art of transforming dance works into text. This study uses methodology from literature studies by exploring books, music, digital ekphrasis. Such a study can give something as fleeting as a dance movement theoretical and historical weight. By transforming dance into words, we hope this study will provide new perspectives and extend the concept of dance research.
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