The main goal of this project is to explore emotion detection in music using lyrics. Firstly, 1,160 song lyrics are hand-annotated using 9 categories of the Geneva Emotional Music Scales (GEMS) (Zentner et al., 2008) emotions. Using the generated dataset, we developed single-label and multi-label classifiers using unigram, bigram, term frequency-inverse document frequency (tfidf) BOW features to detect emotions in lyrics, which achieved 0.65 and 0.82 F1 scores respectively.
-
Notifications
You must be signed in to change notification settings - Fork 2
imdiptanu/lyrics-emotion-detection
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Single-label and multi-label classifiers to detect emotions in lyrics achieved 0.65 and 0.82 F1 scores respectively.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published