Imbalanced Chinese Text Classification Based on Weighted Sampling

2014 ◽  
pp. 38-45 ◽  
Author(s):  
Hu Li ◽  
Peng Zou ◽  
WeiHong Han ◽  
Rongze Xia
Keyword(s):  
Chinese Text ◽  
Text Classification ◽  
Chinese Text Classification

scholarly journals A Radical-Aware Attention-Based Model for Chinese Text Classification

2019 ◽  
Vol 33 ◽  
pp. 5125-5132 ◽  
Author(s):  
Hanqing Tao ◽  
Shiwei Tong ◽  
Hongke Zhao ◽  
Tong Xu ◽  
Binbin Jin ◽  
...  
Keyword(s):  
Chinese Text ◽  
Text Classification ◽  
Special Kind ◽  
Chinese Characters ◽  
Research Attention ◽  
Chinese Text Classification ◽  
Word Level ◽  
Multiple Granularity ◽  
Chinese And English ◽  
Sequence Characteristics

Recent years, Chinese text classification has attracted more and more research attention. However, most existing techniques which specifically aim at English materials may lose effectiveness on this task due to the huge difference between Chinese and English. Actually, as a special kind of hieroglyphics, Chinese characters and radicals are semantically useful but still unexplored in the task of text classification. To that end, in this paper, we first analyze the motives of using multiple granularity features to represent a Chinese text by inspecting the characteristics of radicals, characters and words. For better representing the Chinese text and then implementing Chinese text classification, we propose a novel Radicalaware Attention-based Four-Granularity (RAFG) model to take full advantages of Chinese characters, words, characterlevel radicals, word-level radicals simultaneously. Specifically, RAFG applies a serialized BLSTM structure which is context-aware and able to capture the long-range information to model the character sharing property of Chinese and sequence characteristics in texts. Further, we design an attention mechanism to enhance the effects of radicals thus model the radical sharing property when integrating granularities. Finally, we conduct extensive experiments, where the experimental results not only show the superiority of our model, but also validate the effectiveness of radicals in the task of Chinese text classification.

A method for Chinese text classification based on apparent semantics and latent aspects

2015 ◽  
Vol 6 (4) ◽  
pp. 473-480 ◽  
Author(s):  
Ye-Wang Chen ◽  
Jiong-Liang Wang ◽  
Yi-Qiao Cai ◽  
Ji-Xiang Du
Keyword(s):  
Chinese Text ◽  
Text Classification ◽  
Chinese Text Classification

Domain ontology graph model and its application in Chinese text classification

2012 ◽  
Vol 24 (3-4) ◽  
pp. 779-798 ◽  
Author(s):  
James N. K. Liu ◽  
Yu-lin He ◽  
Edward H. Y. Lim ◽  
Xi-zhao Wang
Keyword(s):  
Chinese Text ◽  
Text Classification ◽  
Graph Model ◽  
Domain Ontology ◽  
Chinese Text Classification
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