Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/95165
Título: Music Emotion Recognition from Lyrics: A Comparative Study
Autor: Malheiro, Ricardo 
Panda, Renato 
Gomes, Paulo J. S. 
Paiva, Rui Pedro 
Palavras-chave: language processing; lyrics; machine learning; multi-modal fusion; music emotion recognition; natural language processing; machine learning
Data: 2013
Projeto: info:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Music 
Título da revista, periódico, livro ou evento: 6th International Workshop on Music and Machine Learning – MML 2013 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2013
Local de edição ou do evento: Prague, Czech Republic
Resumo: We present a study on music emotion recognition from lyrics. We start from a dataset of 764 samples (audio+lyrics) and perform feature extraction using several natural language processing techniques. Our goal is to build classifiers for the different datasets, comparing different algorithms and using feature selection. The best results (44.2% F-measure) were attained with SVMs. We also perform a bi-modal analysis that combines the best feature sets of audio and lyrics.The combination of the best audio and lyrics features achieved better results than the best feature set from audio only (63.9% F- Measure against 62.4% F-Measure).
URI: https://hdl.handle.net/10316/95165
Direitos: openAccess
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