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Dylan Lyrical Text Mining Source
Data Science and Analytics
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About
A curated collection of Bob Dylan’s self-penned and published song lyrics, spanning the six decades from 1961 through 2020. This product facilitates in-depth textual analysis of the renowned artist's body of work. The data excludes songs where Bob Dylan was only the cover artist, ensuring that all tracks listed were originally written by him. Created by a long-time admirer and musician, the product is suitable for researchers interested in exploring aspects such as lyrical shifts, recurring themes, and linguistic evolution in his music.
Columns
- release_year: The year the song was initially released. The dataset covers years between 1961 and 2020.
- album: The title of the studio album or release where the track is found.
- title: The specific title of the song.
- lyrics: The textual content of the song.
Distribution
This product is provided in a CSV file format named
clear.csv. It contains 345 valid records. Every song title is unique within the collection. The earliest track dates from 1961, and the most recent track is from 2020. The median release year for songs in the collection is 1975. The most frequently occurring album name is "The Bootleg Series, Vol 1-3: Rare & Unreleased 1961-1991," accounting for 11% of the entries. There are no missing or mismatched values across the release\_year, album, or title fields.Usage
This collection is ideal for various Text Mining projects. Potential applications include:
- Determining the most frequent words utilized across Dylan's entire output.
- Analysing how the distribution and volume of his songs changed across different decades.
- Conducting sentiment analysis to classify the emotional tone (positive, negative, or neutral) of the lyrics over time.
- Studying literary devices and thematic development within his songwriting.
Coverage
The dataset's time scope covers tracks released between 1961 and 2020. The collection focuses exclusively on songs that Bob Dylan authored himself.
License
CC0: Public Domain.
Who Can Use It
- Data scientists and analysts: To perform statistical analysis on lyrical evolution and language trends.
- Music researchers and academics: To study the literary aspects and career progression of Bob Dylan.
- Text miners: For developing natural language processing (NLP) models or text classification tools.
- Fans and hobbyists: To explore his writing and answer specific questions about his catalogue.
Dataset Name Suggestions
- Bob Dylan Lyrical Archive (1961–2020)
- Dylan's Own Works: A 60-Year Lyrics Dataset
- Bob Dylan Published Lyrics 1961-2020
- Dylan Lyrical Text Mining Source
Attributes
Original Data Source: Dylan Lyrical Text Mining Source
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