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HIS
2001
13 years 11 months ago
Linear Discriminant Text Classification in High Dimension
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
András Kornai, J. Michael Richards
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
14 years 1 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
AIRS
2006
Springer
14 years 1 months ago
Learning to Separate Text Content and Style for Classification
Many text documents naturally have two kinds of labels. For example, we may label web pages from universities according to their categories, such as "student" or "fa...
Dell Zhang, Wee Sun Lee
CORR
2010
Springer
215views Education» more  CORR 2010»
13 years 10 months ago
Text Classification using the Concept of Association Rule of Data Mining
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of...
Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Par...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 10 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee