The Public's Attitude Towards Huangmei Opera

Abstract

With the revival of Chinese traditional culture and the advent of the digital age, traditional operas such as Huangmei Opera are facing new opportunities and challenges. The purpose of this study is to systematically and quantitatively analyze the public's attitude towards Huangmei Opera by means of data science and big data technology. In order to provide empirical basis and support for the inheritance and development of Huangmei Opera. In terms of research methods, we integrate multi-source and heterogeneous data resources. Including but not limited to social media platforms, news media comment areas, ticket sales websites and online forums. Discussion and feedback. Using SPSS and machine learning algorithms, Sentiment analysis, topic model construction and clustering analysis are carried out on the collected large-scale text data.So as to accurately capture the public's awareness of Huangmei Opera, preferences and the factors behind it. The study found that although Huangmei Opera is a national intangible cultural heritage,It has a high reputation and a deep mass base in specific areas, but its influence in the whole country is still limited. Especially among the younger generation, the dissemination effect is not good. In addition, the audience's evaluation of Huangmei Opera shows a clear polarization phenomenon, which not only highly recognizes its artistic value, but also shows its artistic value. There are also problems that are not easy to be accepted by modern audiences because of the traditional performance forms.