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IJCAI
2003
13 years 6 months ago
Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
Giorgio Maria Di Nunzio, Alessandro Micarelli
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 5 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
IRAL
2003
ACM
13 years 10 months ago
Text categorization using automatically acquired domain ontology
In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and statistical methods. The on...
Shih-Hung Wu, Tzong-Han Tsai, Wen-Lian Hsu
ISI
2007
Springer
13 years 11 months ago
FACT: Fast Algorithm for Categorizing Text
— With the ever-increasing number of digital documents, the ability to automatically classifying those documents both quickly and accurately is becoming more critical and difficu...
Saket S. R. Mengle, Nazli Goharian, Alana Platt
IDA
2006
Springer
13 years 5 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire