Analysis of album comments based on NetEase Cloud Music
DOI:
https://doi.org/10.54097/ehss.v4i.2767Keywords:
Comment Mining, Sentiment Analysis, Visualization.Abstract
This paper aims to explore the user's comment behavior and the user's emotional tendency towards each song in the album. In this paper, the comments in the Netease Cloud Music are taken as the analysis objects, and Python is used as a tool to crawl data, clean data, segment words, generate themes, and analyze emotions. Finally, visual analysis is carried out through R language.
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