Results 1 to 10 of about 43,195,377 (268)
Six-Granularity Based Chinese Short Text Classification
Short text classification is an important task in Natural Language Processing (NLP). The classification result for Chinese short text is always not ideal due to the sparsity problem of them.
Xinjie Sun, Zhifang Liu, Xingying Huo
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Chinese Text Classification Model Based on Deep Learning [PDF]
Text classification is of importance in natural language processing, as the massive text information containing huge amounts of value needs to be classified into different categories for further use.
Yue Li, Xutao Wang, Pengjian Xu
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Chinese text classification by combining Chinese-BERTology-wwm and GCN [PDF]
Text classification is an important and classic application in natural language processing (NLP). Recent studies have shown that graph neural networks (GNNs) are effective in tasks with rich structural relationships and serve as effective transductive ...
Xue Xu +3 more
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Chinese text classification method based on sentence information enhancement and feature fusion [PDF]
Text classification involves annotating text data with specific labels and is a crucial research task in the field of natural language processing. Chinese text classification presents significant challenges due to the complex semantics of the language ...
Binglin Zhu, Wei Pan
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Hierarchical Comprehensive Context Modeling for Chinese Text Classification [PDF]
The Chinese text classification task is challenging compared to tasks based on other languages such as English due to the characteristics of the Chinese text itself.
Jingang Liu +4 more
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Adapting Feature Selection Algorithms for the Classification of Chinese Texts
Text classification has been highlighted as the key process to organize online texts for better communication in the Digital Media Age. Text classification establishes classification rules based on text features, so the accuracy of feature selection is ...
Xuan Liu +7 more
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Feature-enhanced text-inception model for Chinese long text classification
To solve the problem regarding unbalanced distribution of multi-category Chinese long texts and improve the classification accuracy thereof, a data enhancement method was proposed.
Guo Yang +4 more
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This article proposes a model for Chinese text classification based on a feature-enhanced nonequilibrium bidirectional long short-term memory (Bi-LSTM) network that analyzes Chinese text information in depth and improves the accuracy of text ...
Hai Huan +5 more
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A Long-Text Classification Method of Chinese News Based on BERT and CNN
Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years.
Xinying Chen, Peimin Cong, Shuo Lv
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Supervised Contrastive Learning with Term Weighting for Improving Chinese Text Classification
With the rapid growth of information retrieval technology, Chinese text classification, which is the basis of information content security, has become a widely discussed topic.
Jiabao Guo +4 more
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