ACL RD-TEC 1.0 Summarization of C00-1066
Paper Title:
AUTOMATIC TEXT CATEGORIZATION BY UNSUPERVISED LEARNING
AUTOMATIC TEXT CATEGORIZATION BY UNSUPERVISED LEARNING
Authors: Youngjoong Ko and Jungyun Seo
Primarily assigned technology terms:
- automatic text categorization
- bayes classifier
- broadcasting
- categorization
- classifier
- classifiers
- computing
- decision tree
- feature selection
- feature selection method
- internet
- k-nearest-neighbor
- learning
- learning algorithms
- learning method
- learning task
- measuring
- memory allocation
- micro-averaging method
- naive bayes
- naive bayes classifier
- pos tagger
- preprocessing
- processing
- selection method
- supervised learning
- support vector machines
- tagger
- text categorization
- text categorization lnethod
- text classifier
- tile
- unsupervised learning
- unsupervised learning method
Other assigned terms:
- categorization scheme
- characters
- content words
- contextual information
- document
- document frequency
- feature
- inverse document frequency
- keyword
- likelihood
- meaning
- measure
- measures
- method
- names
- nouns
- precision
- process
- relation
- sentence
- sentence similarity
- sentences
- similarity between words
- similarity matrix
- statistic
- suffixes
- support vector
- synonyms
- tags
- television
- term
- term frequency
- text
- text documents
- text information
- training
- training data
- training documents
- training set
- tree
- web pages
- word
- word frequencies
- word frequency
- word similarity
- words