SPOTISCIENCE

Spotiscience is a Python Project for extracting and modelling music data of Spotify and Genius

Recomended: See completely guide to use the library

English: https://towardsdatascience.com/spotiscience-a-tool-for-data-scientists-and-music-lovers-a3e32bd82ed1

Spanish: https://medium.com/datos-y-ciencia/spotiscience-una-herramienta-para-data-scientists-y-music-lovers-231b8dc631bc

Installation

git clone https://github.com/cristobalvch/spotiscience.git
cd spotiscience
pip install -r requirements.txt

Usage

import spotiscience

#create a dictionary with authorization keys
CREDENTIALS = {}
CREDENTIALS['client_id'] = "your_spotify_client_id"
CREDENTIALS['client_secret'] = "your_spotify_client_secret"
CREDENTIALS['redirect_url'] = "your_redirect_url"
CREDENTIALS['user_id'] = "your_spotify_user_id"
CREDENTIALS['genius_access_token'] = "your_genius_access_token"

"""You also can set your credentials id on credentials.py and import from spotiscience"""

# returns 'downloader class'
sd = spotiscience.SpotiScienceDownloader(credentials=CREDENTIALS)

# returns 'predicter class'
sp = spotiscience.SpotiSciencePredicter()

Download Music Data

# Returns song features

song_copy_link = "https://open.spotify.com/track/0VjIjW4GlUZAMYd2vXMi3b?si=369f90167c9d48fb"
song = sd.get_song_features(song_id=song_copy_link)
song

[output]
{'id': '0VjIjW4GlUZAMYd2vXMi3b',
 'name': 'Blinding Lights',
 'artist': 'The Weeknd',
 'album': 'After Hours',
 'release_date': '2020-03-20',
 'popularity': 94,
 'length': 200040,
 'acousticness': 0.00146,
 'danceability': 0.514,
 'energy': 0.73,
 'instrumentalness': 9.54e-05,
 'liveness': 0.0897,
 'valence': 0.334,
 'loudness': -5.934,
 'speechiness': 0.0598,
 'tempo': 171.005,
 'key': 1,
 'time_signature': 4}

# Returns song lyric
song_lyric = sd.get_song_lyrics(songname=song['name'],artistname=song['artist'])

[output]
"Yeah\n\nI've been tryna call\nI've been on my own for long enough\nMaybe you can show me\u2005how\u2005to love, maybe\nI'm\u2005going through withdrawals\nYou don't even have\u2005to do too much\nYou can turn me on with just a touch, baby\n\nI look around and\nSin City's cold and empty (Oh)\nNo one's around to judge me (Oh)\nI can't see clearly when you're gone\n\nI said, ooh, I'm blinded by the lights\nNo, I can't sleep until I feel your touch\nI said, ooh, I'm drowning in the night\nOh, when I'm like this, you're the one I trust\nHey, hey, hey\n\nI'm running out of time\n'Cause I can see the sun light up the sky\nSo I hit the road in overdrive, baby, oh\nThe city's cold and empty (Oh)\nNo one's around to judge me (Oh)\nI can't see clearly when you're gone\n\nI said, ooh, I'm blinded by the lights\nNo, I can't sleep until I feel your touch\nI said, ooh, I'm drowning in the night\nOh, when I'm like this, you're the one I trust\n\nI'm just calling back to let you know (Back to let you know)\nI could never say it on the phone (Say it on the phone)\nWill never let you go this time (Ooh)\n\nI said, ooh, I'm blinded by the lights\nNo, I can't sleep until I feel your touch\nHey, hey, hey\nHey, hey, hey\n\nI said, ooh, I'm blinded by the lights\nNo, I can't sleep until I feel your touchEmbedShare Url:CopyEmbed:Copy"

Topic Modelling and Music Mood Prediction

#predict the mood of the song
mood = sp.predict_song_mood(song=song)
mood

[output]
'energy'

#predict the topics of the song lyric
topics = sp.predict_topic_lyric(lyric=lyrics,model='lda',lang='english',n_grams=(1,1),n_topics=1,top_n=5)
topics

[output]
defaultdict(list,
            {'Topic 0:': [[('hey', 8.249863616778203),
               ('ooh', 6.627924700037221),
               ('touch', 5.011524363507339),
               ('light', 4.997437601882748),
               ('feel', 4.23125338314076)]]})

Authors and acknowledgment

Cristóbal Veas - Data Scientist , feel free to contact me on Linkedln

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

I would be glad if someone can help me to upload this project to pipy

License

MIT

robbiejdunne / spotiscience