Emotionally-Relevant Features for Classification and Regression of Music Lyrics.
Ricardo MalheiroRenato PandaPaulo GomesRui Pedro PaivaPublished in: IEEE Trans. Affect. Comput. (2018)
Keyphrases
- feature set
- audio features
- emotion classification
- classification accuracy
- music information retrieval
- support vector
- feature vectors
- feature extraction
- classification models
- classification method
- genre classification
- music retrieval
- feature space
- extracted features
- image features
- class labels
- decision trees
- classification process
- svm classifier
- image classification
- audio signals
- feature analysis
- support vector machine
- eeg signals
- false positives
- audio signal
- extracting features
- low level
- benchmark datasets
- feature representation
- feature selection algorithms
- regression problems
- feature subset
- semantic information
- multi modal
- training set
- regression model
- pattern recognition
- training data
- feature selection and classification
- feature selection
- digital music
- classification and regression problems