Design and Implementation of NetEase Cloud Music Review Data Analysis System Based on Python
NetEase Cloud Music review data as the direct feedback of users to music works,contains rich information and value.In this paper,Python crawler technology is used to collect the review data,and the collected data results are stored in the SQLite database.By processing and analyzing the review data with the Python third-party database,the Flask framework of Python is used to build a Web application to realize the dynamic and visual display of the review data.Through the deep mining of NetEase Cloud Music review data,users'comments of different songs,emotional tendencies and hot topics and other information can be known,which provides a scientific basis for the optimization and public opinion monitoring of the music recommendation system.In addition,in terms of data visualization,NetEase Cloud Music review data analysis system uses a variety of chart forms,such as bar charts,pie charts and word clouds and so on,to visually display the analysis results.Through these charts,users can easily understand the distribution situation,trend changes and other information of review data.
国家科技期刊平台
NSTL
万方数据
