Hugo Gonçalo Oliveira
Rui Pedro Paiva
Center for Informatics and Systems of the University of Coimbra (CISUC) and Miguel Torga Higher Institute, Portugal
Center for Informatics and Systems of the University of Coimbra (CISUC), Portugal
Music Information Retrieval, Lyrics Music Emotion Recognition, Lyrics Music Emotion Variation Detection, Keyword based Approach.
Knowledge Discovery and Information Retrieval
Mining Text and Semi-Structured Data
This research addresses the role of the lyrics in the context of music emotion variation detection. To
accomplish this task we create a system to detect the predominant emotion expressed by each sentence (verse)
of the lyrics. The system employs Russell’s emotion model and contains 4 sets of emotions associated to each
quadrant. To detect the predominant emotion in each verse, we propose a novel keyword-based approach,
which receives a sentence (verse) and classifies it in the appropriate quadrant. To tune the system parameters,
we created a 129-sentence training dataset from 68 songs. To validate our system, we created a separate
ground-truth containing 239 sentences (verses) from 44 songs annotated manually with an average of 7
annotations per sentence. The system attains 67.4% F-Measure score.