ACL RD-TEC 1.0 Summarization of W03-1105
Paper Title:
POISSON NAIVE BAYES FOR TEXT CLASSIFICATION WITH FEATURE WEIGHTING
POISSON NAIVE BAYES FOR TEXT CLASSIFICATION WITH FEATURE WEIGHTING
Authors: Sang-Bum Kim and Hee-Cheol Seo and Hae-Chang Rim
Primarily assigned technology terms:
- algorithm
- bayes classifier
- bayes text classification
- categorization
- classification
- classifier
- classifiers
- feature selection
- feature weighting
- knn
- learning
- learning algorithm
- learning algorithms
- machine learning
- machine learning algorithms
- naive bayes
- naive bayes classifier
- nlp
- parameter estimation
- preprocessing
- probabilistic classifier
- smoothing
- statistical test
- text categorization
- text classification
- text classifier
- weighting
- weighting method
Other assigned terms:
- approach
- bayes model
- benchmark
- case
- classification model
- classification performance
- classification task
- contingency table
- distribution
- document
- document set
- estimation
- evaluation measure
- experimental results
- feature
- feature set
- feature space
- hypothesis
- implementation
- independence assumption
- information gain
- interpolation
- korean news
- language model
- measure
- measures
- method
- multinomial model
- mutual information
- naive bayes model
- poisson distribution
- posterior
- posterior probability
- probabilities
- probability
- process
- retrieval model
- statistic
- statistics
- technique
- term
- term frequency
- terms
- text
- text classification task
- training
- training document
- training documents
- uniform probability
- unigram
- unigram language model
- unigram model
- words
