I would like to analyze emotional tone and sentiment across music genres using NLP applied to the song lyrics. It will collect lyrics from multiple genres such as pop, hip-hop, and R&B, and use tokenization, sentiment analysis, and lexical emotion dictionaries to classify words as positive, negative, or emotion-specific (e.g., happiness, sadness, anger, or confidence). The goal is to examine whether certain genres consistently express distinct emotional profiles, such as hip-hop may show stronger expressions of anger or confidence, while R&B may emphasize themes of heartbreak or vulnerability. By comparing sentiment patterns across genres, I would like to explore how musical genres are reflected through emotional language, and whether genre labels align with the emotional content of lyrics.
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