9 out of 129 papers (7%) are related to affective analysis in music:
- Modeling Dynamic Patterns for Emotional Content in Music
- Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data
- Music Emotion Classification of Chinese Songs based on Lyrics Using TFIDF and Rhyme
- Modeling Musical Emotion Dynamics with Conditional Random Fields
- Mining the Correlation between Lyrical and Audio Features and the Emergence of Mood
- Exploring The Relationship Between Mood and Creativity in Rock Lyrics
- A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation
- Music Mood Classification of Television Theme Tunes
- Musical Moods- A Mass Participation Experiment for Affective Classification of Music
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