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The proposed prototype system employs a two-step classifying strategy. First, the features that are effective for all testing texts are used to classify texts.
Abstract. How to improve the accuracy of categorization is a big challenge in text categorization. This paper proposes a high performance prototype system.
The proposed prototype system employs a two-step classifying strategy. First, the features that are effective for all testing texts are used to classify texts.
Nov 13, 2006 · This paper proposes a high performance prototype system for Chinese text categorization, which mainly includes feature extraction subsystem, ...
(2000) The System for Automatic Text categorization Based on Chinese Character Vector. Journal of the China Society for Scientific and Technical Information ...
In this paper, we propose an N-gram-based language model which takes word relations into account for Chinese text categorization without Chinese word tokenizer.
A Fault Diagnosis Prototype System Based on Causality Diagram. ICIC (2) ... A High Performance Prototype System for Chinese Text Categorization. MICAI ...
Abstract-Text categorization (TC) is a problem of assigning a document into predefined classes. One of the most important issues in TC is feature selection.
This paper proposes a high performance prototype system for Chinese text categorization, which mainly includes feature extraction subsystem, feature selection ...
Lam, W., Lai, K.Y.: A Meta-learning Approach for Text Categorization. ... A High Performance Prototype System for Chinese Text Categorization. Xinghua ...