Results 21 to 30 of about 43,195,377 (268)
Attention-based BILSTM network with part-of-speech features for Chinese text classification
Journal of Hebei University of Science and Technology, 2018 The Chinese classification methods based on LSTM can correctly identify the category oftext, but such classification methods mainly focus on learning the text fragments related to the theme without aiming at other aspects of the words in context ...
Chengliang GAO, Hua XU, Kai GAO
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Multimodal Chinese Agricultural News Classification Method Based on Interactive Attention
IEEE AccessMost current research on Chinese agricultural news is limited to text analysis and seldom integrates images, leading to a scarcity of multimodal Chinese agricultural news datasets and an evident gap in multimodal Chinese agricultural news research.
Xuliang Duan +3 more
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Text classification method review [PDF]
, 2007 With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories.
Tiwari, Ashutosh +3 more
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Chinese Short Text Classification Algorithm Based on Hybrid Features of Characters and Words [PDF]
Jisuanji kexue, 2022 The rapid development of information technology has lead to massive data of Chinese short texts on the Internet.As such, using classification technology to dig out valuable information from it is a current research hotspot.Compared with Chinese long ...
LIU Shuo, WANG Geng-run, PENG Jian-hua, LI Ke
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Chinese Short Text Classification Algorithm Based on BERT Model [PDF]
Jisuanji gongcheng, 2021 The existing Chinese short text classification algorithms are faced with sparse features,informal words and massive data.To address the problems,this paper proposes a Chinese short text classification algorithm based on the Bidirectional Encoder ...
DUAN Dandan, TANG Jiashan, WEN Yong, YUAN Kehai
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Text Classification Using Capsule Network Integrating Stroke Features [PDF]
Jisuanji gongcheng, 2022 Most current text classification methods have the problem that they cannot effectively reflect the importance of different words in a sentence, and the word vectors obtained in the neural network training process ignore the structural information of the ...
LI Ranran, LIU Daming, LIU Zheng, CHANG Gaoxiang
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A Study on Automatic Chinese Text Classification [PDF]
A Study on Automatic Chinese Text Classificationapplication/pdf Automatic text classification (ATC) is the task to automatically assign one or more appropriate categories for a document according to its content or topic. Traditionally, text classification is carried out by human experts as it requires a certain level of vocabulary recognition and knowledge processing.
LUO, XI
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Chinese Text Classification Method Based on Improved BiGRU-CNN [PDF]
Jisuanji gongcheng, 2022 The conventional self-attention mechanism can highlight the key features of text while retaining the original features to obtain a more accurate representation of the text feature vector.However, it does not focus on the different contributions of the ...
CHEN Kejia, LIU Hui
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Identification and classification of proper nouns in Chinese texts [PDF]
Proceedings of the 16th conference on Computational linguistics -, 1996 Various strategies are proposed to identify and classify three types of proper nouns in Chinese texts. Clues from character, sentence and paragraph levels are employed to resolve Chinese personal names. Character, Syllable and Frequency Conditions are presented to treat transliterated personal names.
Hsin-Hsi Chen, Jen-Chang Lee
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Adversarial Sample Generation for Chinese Classification Model Based on Prototypical Network [PDF]
Jisuanji gongcheng, 2023 In adversarial sample generation, the deep learning model is triggered to add imperceptible perturbations to the original text, thereby producing an incorrect output which can subsequently be used to test the robustness of the text classification model ...
Yanyan YANG, Mingxuan XIE, Jiangxia CAO, Xuebin WANG, Tingwen LIU, Yanhui DU
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