Six-Granularity Based Chinese Short Text Classification
IEEE Access, 2023 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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CFSE: a Chinese short text classification method based on character frequency sub-word enhancement
Connection Science, 2023 As a foundation task of natural language processing, text classification is widely used in information retrieval, public opinion analysis, and other related tasks.
Xingguang Wang +4 more
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Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification. [PDF]
PLoS ONE, 2023 Text pre-processing is an important component of a Chinese text classification. At present, however, most of the studies on this topic focus on exploring the influence of preprocessing methods on a few text classification algorithms using English text ...
Dezheng Zhang +3 more
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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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An emotional classification method of Chinese short comment text based on ELECTRA [PDF]
Connection Science, 2022 Chinese short comment texts have the characteristics of feature sparseness, interlacing, irregularity, etc., which makes it difficult to fully grasp the overall emotional tendency of users.
Shunxiang Zhang, Hongbin Yu, Guangli Zhu
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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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IEEE Access, 2020 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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Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Information, 2022 Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
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Chinese Multilabel Short Text Classification Method Based on GAN and Pinyin Embedding
IEEE AccessWith the development of the Chinese Internet, a large amount of Chinese short text data has been generated. The multilabel classification of Chinese short texts enables more effective management and analysis. However, due to the sparsity of Chinese short
Jinpeng Bai, Xinfu Li
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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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