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Song Metadata and Lyrics Analytics Dataset
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About
This dataset features a collection of songs. Each entry includes the song ID, artist name, song title, link to the lyrics, and the full lyrics text. It is designed to explore lyric content, musical themes, and sentiment in music.
Dataset Features:
- Song_ID: Unique identifier for each song.
- Artist: Name of the artist.
- Song: Title of the song.
- Link: URL linking to the lyrics.
- Text: Full lyrics of the song.
Usage:
This dataset is suitable for various types of analysis and applications, including:
- Sentiment analysis of song lyrics.
- Text mining to uncover recurring themes, motifs, and stylistic elements in music.
- Natural language processing tasks such as topic modelling, word frequency analysis, and lyric classification.
- Building lyric-based recommendation systems or exploring relationships between song themes and audience engagement.
Coverage:
The dataset includes a small but diverse range of songs, capturing different periods of their music. It supports research into lyric sentiment, cultural impact, and music trends of the era.
License:
CC0 (Public Domain)
Who can use it:
Data analysts, musicologists, NLP practitioners, students, and fans interested in lyric analysis, music, or sentiment exploration.
How to use it:
- Conduct a sentiment or emotion analysis of lyrics.
- Explore lyrical structures and thematic patterns across the songs.
- Create visualisations like word clouds or sentiment graphs to depict insights.
- Use for machine learning projects involving text data, such as lyric classification or artist similarity modelling.
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