ACL RD-TEC 1.0 Summarization of W01-0506
Paper Title:
STACKING CLASSIFIERS FOR ANTI-SPAM FILTERING OF E-MAIL
STACKING CLASSIFIERS FOR ANTI-SPAM FILTERING OF E-MAIL
Authors: Georgios Sakkis and Ion Androutsopoulos and Georgios Paliouras and Vangelis Karkaletsis and Constantine D. Spyropoulos and Panagiotis Stamatopoulos
Primarily assigned technology terms:
- algorithm
- approximation
- attribute selection
- bayes classifier
- boosting
- categorization
- classification
- classifier
- classifier ensemble
- classifiers
- cross-validation
- crossvalidation
- decision trees
- k-nearest neighbor
- k-nn
- language processing
- learner
- learning
- learning algorithms
- learning techniques
- lemmatizer
- machine learning
- machine learning techniques
- memory-based classifier
- memory-based learner
- naive bayes
- naive bayes classifier
- natural language processing
- partitioning
- preprocessing
- processing
- stacked generalization
- support vector machines
- text categorization
- voting
- weighting
Other assigned terms:
- approach
- benchmark
- benchmark corpora
- benchmark corpus
- case
- corpora
- dimensionality
- empirical evaluation
- estimation
- evaluation measures
- experimental results
- fact
- implementation
- information gain
- linguist
- linguistics
- measures
- message
- method
- misclassification cost
- natural language
- opinions
- priori
- support vector
- text
- training
- training set
- trees
- user
- word
- words
