分析意大利歌曲歌词的语义演变，发现近年风格趋同。
Semantic Homogenization in Italian Popular Music: A Diachronic Analysis
- 结合文本与模型，构建可复用的语义演化分析框架。
- 75届圣雷莫音乐节歌词显示语义相似度逐年上升。
- 适合关注文化趋势与NLP应用的研究者阅读。
近年来研究发现，流媒体平台上的英语流行歌曲歌词语义多样性下降。本文考察这一趋势是否存在于不同语言文化背景：分析了意大利最具影响力的音乐赛事——圣雷莫音乐节过去75届决赛歌曲的歌词。研究提出一种灵活高效的语义相似性追踪方法，融合全文、分段、主题和词级分析，结合嵌入技术与大语言模型。应用于圣雷莫歌词数据集后，发现其语义一致性呈渐进式上升，与此前全球研究结果一致。该成果凸显自然语言处理在揭示音乐语言与文化表达长期变迁中的价值。
原文摘要 · Abstract (English)
In recent years, studies have revealed a decline in semantic variety across popular music lyrics, particularly in English-language songs on streaming platforms like Spotify. This research examines whether a similar trend can be observed in a different linguistic and cultural context: the lyrics of all finalist songs from the 75 editions of the Sanremo Music Festival, Italy's most renowned music competition. What sets this work apart is the development of a flexible and efficient methodology for tracking changes in semantic similarity over time, which can be applied to different datasets to study similar phenomena. Drawing on a combination of full-text, segment-based, topic-based, and word-level analyses, the approach leverages both embedding techniques and large language models. When applied to the Sanremo corpus, this framework reveals a gradual move toward increasing semantic uniformity, echoing the global patterns identified in previous studies. These findings underscore the value of natural language processing tools in uncovering long-term shifts in musical language and cultural expression.
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