Results 31 to 40 of about 43,195,377 (268)
IEEE Access, 2020 Automatic text classification is a research focus and core technology in information retrieval and natural language processing. Different from the traditional text classification methods (SVM, Bayesian, KNN), the class-center vector method is an ...
Xinhua Zhu +4 more
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Egyptian Informatics Journal, 2022 In view of most current studies on text sentiment classification focus on the deep learning model to obtain the sentimental characteristics of English text.
Xiaoyang Liu, Ting Tang, Nan Ding
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Text Classification of Mixed Model Based on Deep Learning
Tehnički Glasnik, 2023 At present, deep learning has been widely used many fields, but the research on text classification is still relatively few. This paper makes full use of the good learning characteristics of deep learning, proposes a hybrid model based on deep learning ...
Sang-Hwa Lee
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PLoS ONE, 2023 Recently, a lot of Chinese patients consult treatment plans through social networking platforms, but the Chinese medical text contains rich information, including a large number of medical nomenclatures and symptom descriptions.
Xiaoli Li +5 more
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Online Chinese and English Handwriting Recognition Method Based on Multiple Rules and Path Evaluation [PDF]
Jisuanji gongcheng, 2022 Handwritten text recognition is mainly used in text input technology, which plays a key role in the development of human-computer interaction.To address the lack of functionality for Chinese and English mixed handwritten text recognition in most online ...
FU Pengbin, LIU Penghui, YANG Huirong, DONG Aojing
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Word-Level and Pinyin-Level Based Chinese Short Text Classification
IEEE Access, 2022 Short text classification is an important branch of Natural Language Processing. Although CNN and RNN have achieved satisfactory results in the text classification tasks, they are difficult to apply to the Chinese short text classification because of the
Xinjie Sun, Xingying Huo
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WordRevert: Adversarial Examples Defence Method for Chinese Text Classification
IEEE Access, 2022 Adversarial examples can evade the detection of text classification models based on Deep Neural Networks (DNNs), thus posing a potential security threat to the system.
Enhui Xu +5 more
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Research on Chinese Text Classification Based on Hybrid Model of VDCNN and LSTM [PDF]
Jisuanji gongcheng, 2018 Due to the structural dependence of natural language,and the high dimensionality when Chinese text is directly transformed into vector,the accuracy of existing text classification methods is low.To solve this problem,a hybrid model of Very Deep ...
PENG Yuqing,SONG Chubai,YAN Qian,ZHAO Xiaosong,WEI Ming
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A Hybrid Classification Method via Character Embedding in Chinese Short Text With Few Words
IEEE Access, 2020 Last decades have witnessed the significance development of research in short text classification. However, most existing methods only focus on the text which contained dozens of words like Twitter or MicroBlog, but not take the short text with few words
Yi Zhu +4 more
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Effective classification of Chinese tea samples in hyperspectral imaging [PDF]
, 2013 Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang +2 more
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