Language feature mining for music emotion classification via supervised learning from lyrics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5370 LNCS, Issue , 2008, Pages 426-435

  He, Hui ^a,b   Jin, Jianming ^b   Xiong, Yuhong ^b   Chen, Bo ^a   Sun, Wu ^c   Zhao, Ling ^c  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b HEWLETT PACKARD LABORATORIES   (United States)

^c YY Music Group

Author keywords

Emotion classification; Maximum Entropy; N grams; Na ve Bayes; Support Vector Machine

Indexed keywords

COMPUTATIONAL LINGUISTICS; ELECTRONIC MUSICAL INSTRUMENTS; ENTROPY; GEARS; IMAGE RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; LINGUISTICS; MULTILAYER NEURAL NETWORKS; SEMANTICS; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

CLASSIFICATION PERFORMANCE; EMOTION CLASSIFICATION; EXPERIMENTAL RESULTS; FEATURE EXTRACTION METHODS; FEATURE MINING; LANGUAGE FEATURES; LANGUAGE MODELLING; LEARNING METHODS; MAXIMUM ENTROPY; MUSIC INFORMATION RETRIEVAL (MIR); N-GRAMS; PREPROCESSING METHODS; SUPPORT VECTOR MACHINE; TEXT CATEGORIZATION (TC); VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 58549098309     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-92137-0_47     Document Type: Conference Paper

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