Year: 2025
Type: article
Abstract: 随着短视频平台的兴起，抖音已成为全球最受欢迎的社交媒体之一，其背景音乐(BGM)对歌曲的传播具有重要影响。本文基于Python文本挖掘技术，对2019年和2024年抖音热门歌曲的歌词进行数据采集、清洗、分析和可视化，探究热门歌曲歌词的共性特征，包括高频词汇、情感倾向等，以揭示抖音用户偏好的歌词风格以及人们听歌的情感分析。研究结果表明，抖音热门歌曲的歌词普遍具有简短、重复、情感强烈等特点，且正向情感词汇占比较高。本研究对音乐产业、社会心理情感及文化传播具有一定的参考价值。With the rise of short video platforms, TikTok has become one of the most popular social media in the world, and its background music (BGM) has an important impact on the spread of songs. Based on Python text mining technology, this paper collects, cleans, analyzes and visualizes the lyrics of TikTok’s popular songs in 2019 and 2024, and explores the common features of the lyrics of popular songs, including high-frequency words, emotional tendencies, etc., to reveal the lyrics style preferred by TikTok users and the emotional analysis of people listening to songs. The results show that the lyrics of popular TikTok songs are generally short, repetitive, and emotional, and positive emotional words account for a high proportion. This study has certain reference value for the music industry, social psychology, emotions, and cultural dissemination.
Author: 新菓 苏
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411393960