基于Python的古风音乐数据量化分析  

Quantitative Analysis of Chinese Neo-traditional Music Data Based on Python

作　　者：卢心陶 LU Xin-tao(School of Information Engineering,Jiangsu Vocational College of Tourism,Yangzhou 225000,China)

机构地区：[1]江苏旅游职业学院信息工程学院,江苏扬州225000

出　　处：《南通职业大学学报》2024年第3期72-77,共6页Journal of Nantong Vocational University

基　　金：江苏旅游职业学院2024年度校级课题(JSLY202406022)。

摘　　要：为深度挖掘古风音乐的内在特质与市场潜力,利用Python爬虫技术,结合数据处理、可视化与情感分析等手段,从播放数量、评论、歌词与地区分布等多角度对古风音乐相关数据进行量化分析,探讨古风音乐的特点、受众群体、喜好与地域分布,并提出相应建议,为促进古风音乐的创作推广与未来产业发展提供一定的参考。To explore the characteristics and market potential of Chinese neo-traditional music,Python crawler technology is used to conduct a quantitative analysis of the data related to neo-traditional music through data processing,visualization and sentiment analysis,from multiple dimensions such as play count,comments,lyrics and regions.Then the characteristics,audience groups,preferences,and geographical distribution of neo-traditional music are discussed.Some suggestions are put forward to promote the creation and development of the music industry.

关 键 词：古风音乐 数据分析 PYTHON 情感分析 

分 类 号：J642-39[艺术—音乐]