ACL RD-TEC 1.0 Summarization of C02-1074
Paper Title:
TEXT CATEGORIZATION USING FEATURE PROJECTIONS
TEXT CATEGORIZATION USING FEATURE PROJECTIONS
Authors: Youngjoong Ko and Jungyun Seo
Primarily assigned technology terms:
- algorithm
- boosting
- categorization
- classification
- classification method
- classification process
- classifier
- classifiers
- document representation
- feature projection
- feature projection technique
- feature selection
- indexing
- information retrieval
- instance pruning
- instance-based classification
- k-nearest neighbor
- k-nn
- k-nn method
- k-nnfp
- learning
- learning algorithms
- machine learning
- majority voting
- naive bayes
- nearest neighbors
- pattern recognition
- projection technique
- proportional voting
- pruning
- ranking
- recognition
- scoring
- supervised learning
- support vector machine
- text categorization
- text categorization algorithm
- text classification
- text classifier
- training process
- vector space model
- voting
Other assigned terms:
- approach
- case
- categorization problem
- categorization task
- co-occurrence
- co-occurrence frequency
- contextual information
- data set
- distance measure
- distribution
- document
- document frequency
- document vector
- document vectors
- empirical results
- experimental results
- feature
- feature vector
- implementation
- knowledge
- measure
- method
- process
- projection
- running time
- support vector
- technique
- term
- terms
- text
- text categorization problem
- time complexity
- training
- training data
- training data set
- training documents
- training phase
- training set
- understanding
- vector space
- words
