Creating a hit song based on lyrics analysis
ANOUK DYUSSEMBAYEVA A DECEMBER, 21 / 2019
While reading the Wired UK article about why there hasn't been a hit Christmas song in years, I've learnt about an interesting analysis.
Photo by Lukas Blazek on Unsplash
In 2017, Berklee's forensic musicologist Joe Bennett looked at the components of Christmas songs.
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Taking UK's Spotify charts for the week of December 25, 78 of the top 200 songs were Christmas-related. They all had lyrics with the words "home", "love", "Santa", "snow", and etc.
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He also found out that 49% included sleigh bells, 95% were written in major, and the median tempo was 115 BPM (beats per minute).
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With this perfect formula on hand, songwriters Steve Anderson and Harriet Green composed what was supposed to be the ultimate Christmas song – "Love's Not Just For Christmas".
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Unfortunately, the song didn't even make it to the charts.
⠀
Interestingly, I've been thinking about analyzing lyrics of the №1 hit songs and looking at their correlations as a data science project idea. Maybe I will find the formula?
⠀
Taking UK's Spotify charts for the week of December 25, 78 of the top 200 songs were Christmas-related. They all had lyrics with the words "home", "love", "Santa", "snow", and etc.
⠀
He also found out that 49% included sleigh bells, 95% were written in major, and the median tempo was 115 BPM (beats per minute).
⠀
With this perfect formula on hand, songwriters Steve Anderson and Harriet Green composed what was supposed to be the ultimate Christmas song – "Love's Not Just For Christmas".
⠀
Unfortunately, the song didn't even make it to the charts.
⠀
Interestingly, I've been thinking about analyzing lyrics of the №1 hit songs and looking at their correlations as a data science project idea. Maybe I will find the formula?
