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Title: Music Emotion Recognition from Lyrics: A Comparative Study
Authors: Malheiro, Ricardo 
Panda, Renato 
Gomes, Paulo J. S. 
Paiva, Rui Pedro 
Keywords: language processing; lyrics; machine learning; multi-modal fusion; music emotion recognition; natural language processing; machine learning
Issue Date: 2013
Project: info:eu-repo/grantAgreement/FCT/5876-PPCDTI/102185/PT/MOODetector - A System for Mood-based Classification and Retrieval of Audio Music 
Serial title, monograph or event: 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
Place of publication or event: Prague, Czech Republic
Abstract: 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).
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Livros de Actas

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