Ensemble-based Classification for Author Profiling Using Various Features Notebook for PAN at CLEF 2013.
Michal MeinaKarolina BrodzinskaBartosz CelmerMaja CzokówMartyna PateraJakub PezackiMateusz WilkPublished in: CLEF (Working Notes) (2013)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- feature selection
- text classification
- classification accuracy
- learning algorithm
- wrapper feature selection
- classification method
- feature vectors
- feature set
- feature extraction
- feature space
- model selection
- feature analysis
- information extraction
- multiple classifiers
- information retrieval
- training set
- classification process
- classification models
- ensemble methods
- svm classifier
- feature ranking
- information retrieval systems
- final classification
- ensemble classifier
- feature values
- extracting features
- high dimensionality
- weak classifiers
- class labels
- question answering
- benchmark datasets
- support vector machine svm
- co occurrence
- extracted features
- random forest
- regression problems
- multi class
- individual features
- decision tree classifiers
- image features
- neural network