基于Python的网易民谣歌词数据分析

Data Analysis on Net Ease Ballad Lyrics Based on Python

随着大数据时代下的数据来源和获取日趋重要,基于Python的爬虫技术已成为获取数据工具的研究热点之一。本文应用Python爬虫关键技术对网易云季度歌词以及歌词相关文章的信息采集和汇总,并对其汇总后的网易歌词利用Python类库和数据分析技术对歌手情绪、词频统计、词云可视化以及歌手对时光和城市偏爱程度等进行数据分析。研究结果表明,当下民谣歌手情绪稳定且有激情,能通过歌曲表达其正面情感,以及对当下时光与繁华城市的喜好。

Data resource and procurement are getting increasingly important in big data era. Crawler technology based on Py- thon has become one of the research hotspots on data acquisition tool. This article applies Python crawler technologies to collect and summarize the information of Netease Cloud＇s quarterly lyrics and lyrics-related articles. The singer emotion data, word frequency statistics, word cloud visualization, and the degree of singer＇ preference for time and city are analyzed by Python library and data analysis technology. The research results show that the ballad singer is stable and passionate, and can express his positive feelings through songs, and enjoy the current time and prosperous cities.