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.
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.
A High Performance Prototype System for Chinese Text Categorization
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Abstract. How to improve the accuracy of categorization is a big challenge in text categorization. This paper proposes a high performance prototype system.
Nov 13, 2006 · This paper proposes a high performance prototype system for Chinese text categorization, which mainly includes feature extraction subsystem, ...
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What is text categorization?
Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups. By using Natural Language Processing (NLP), text classifiers can automatically analyze text and then assign a set of pre-defined tags or categories based on its content.
This paper proposes a high performance prototype system for Chinese text categorization, which mainly includes feature extraction subsystem, feature ...
Nov 13, 2006 · A high performance prototype system for chinese text categorization ... This paper proposes a high performance prototype system for Chinese ...
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 ...
A scalable approach which uses frequency counts to identify left and right boundaries of possibly significant terms and the combination of term selection ...
Borisyuk et al. Rosetta: Large scale system for text detection and recognition in images. KDD. (2018). J. Chen et al. Zero-shot Chinese character recognition ...
Mar 6, 2023 · Pseudo-label paradigms that assign labels with high confidence to unlabeled data based on a trained model have been increasingly investigated [ ...