现代信息科技2024，Vol.8Issue(24)：72-76,5.DOI:10.19850/j.cnki.2096-4706.2024.24.015
基于Python的网易云音乐评论数据分析系统的设计与实现
Design and Implementation of NetEase Cloud Music Review Data Analysis System Based on Python
摘要
Abstract
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.关键词
网易云音乐/Python爬虫/情感分析Key words
NetEase Cloud Music/Python crawler/emotion analysis分类
信息技术与安全科学引用本文复制引用
华康民,殷旭颂..基于Python的网易云音乐评论数据分析系统的设计与实现[J].现代信息科技,2024,8(24):72-76,5.基金项目
河南省软科学研究计划项目(242400410506) （242400410506）
河南省教育科学规划课题(2024YB0145) （2024YB0145）
2024年郑州航空工业管理学院教育教学改革研究与实践项目(zhjy24-152) （zhjy24-152）
