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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, ...
This paper proposes a high performance prototype system for Chinese text categorization, which mainly includes feature extraction subsystem, feature ...
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How to improve the accuracy of categorization is a big challenge in text categorization. This paper proposes a high performance prototype system for Chinese ...
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Missing: Prototype | Show results with:Prototype
Mar 6, 2023 · Pseudo-label paradigms that assign labels with high confidence to unlabeled data based on a trained model have been increasingly investigated [ ...
Fan presented a high performance prototype system for Chinese text categorization including a general two-step TC framework, in which the two-step TC method ...
Combining Bi-gram of Character and Word to Classify Two-Class Chinese Texts in Two Steps ... A High Performance Prototype System for Chinese Text Categorization.