A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms.
Athanasios KehagiasVassilios PetridisVassilis G. KaburlasosPavlina FragkouPublished in: J. Intell. Inf. Syst. (2003)
Keyphrases
- text categorization
- text classification
- feature selection
- document classification
- classification algorithm
- text classifiers
- document categorization
- automatic text categorization
- linear svm
- naive bayes
- support vector machine
- k nearest neighbor
- machine learning
- reuters corpus
- knn
- automatic categorization
- image classification
- transductive support vector machine
- automated text categorization
- co occurrence
- text documents
- term frequency
- learning algorithm
- decision trees
- multi label
- text mining
- feature selections
- feature vectors
- model selection
- feature weighting
- n gram
- training documents
- feature selection for text categorization
- data mining
- supervised learning
- classification accuracy
- feature reduction
- support vector
- term weighting
- feature space
- learning process
- information gain
- word sense disambiguation
- bag of words