02524nas a2200301   4500000000100000000000100001008004100002260002300043653001300066653002200079653002300101653002500124653002800149653002500177653003400202653002200236653002300258653002400281653002100305100001200326700001000338700001200348245008700360856016200447490000900609520158400618020002002202       2021                            d  bIOP Publishing Ltd10aBig data10acultural identity10aDigital humanities10aDigital technologies10aHierarchical clustering10aHumanities computing10aIntangible cultural heritages10aNational cultures10aQualitative method10aQuantitative method10aScientific basis1 aQ. Tang1 aY. Xu1 aY. Yuan00aA Comparative Genre Analysis of Chinese Folk Song Huar Based on Digital Humanities  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85109357610&doi=10.1088%2f1742-6596%2f1955%2f1%2f012006&partnerID=40&md5=02ab873518d7afcb48c191fa88f198fb0 v19553 aAs an intangible cultural heritage, the folk song Huar is a precious name card of Chinese national culture. Its protection and inheritance are of great significance for promoting multi-ethnic cultural identity and enhancing cultural confidence. Genre research is an important topic in the study of Huar. However, current Huar genre researches are mainly based on qualitative methods. Digital Humanities is an emerging discipline that applies computing and digital technology to the study of the humanities. Comparing to traditional methods, Digital Humanities is a more accurate and efficient method of style analysis on literary texts. Through the methods of Digital Humanities, we can objectively show and verify the similarities and differences between Huar genres, and make up for the lack of objectivity in the traditional Huar genre research. Therefore, in this paper we combined qualitative and quantitative methods to make a comparative style analysis on Hehuang Huar and Taomin Huar from two aspects, namely rhythm and sentence pattern. Furthermore, we explored the reasons in depth behind these surface rules from the perspectives of music, literature, nationality and history. We simultaneously use hierarchical clustering to verify the discrimination of genres on specific style features. The result of this research shows that the research perspective and methods of digital humanities can provide objective conclusions for Huar researches, which can provide data support and scientific basis for researchers or enthusiasts to distinguish, appreciate and study Huar.  a17426588 (ISSN)