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| Data Analysis on NetEase Ballad Lyrics Based on Python |
| FANG Zi-ling, KUANG Fang-jun |
| Wenzhou Business College |
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Abstract Data resource and procurement are getting increasingly important in big data era. Crawler technology based on Python
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.
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