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SMC
2007
IEEE
100views Control Systems» more  SMC 2007»
14 years 2 months ago
Text categorization based on the ratio of word frequency in each categories
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
Makoto Suzuki, Shigeichi Hirasawa
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
SMC
2010
IEEE
177views Control Systems» more  SMC 2010»
13 years 6 months ago
On a new model for automatic text categorization based on Vector Space Model
Abstract—In our previous paper, we proposed a new classification technique called the Frequency Ratio Accumulation Method (FRAM). This is a simple technique that adds up the rat...
Makoto Suzuki, Naohide Yamagishi, Takashi Ishida, ...
AIRS
2004
Springer
14 years 1 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
EMNLP
2004
13 years 9 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...