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Review of Chinese Short Text Classification
Applied Mechanics and Materials, 2013Because features of Chinese short text are different from long text, current text classification technology of long text classification are not suit of short text classification. This paper summarizes features, various methods and Application for Chinese short text classification, and pointes out their advantages, disadvantages and applicability scope.
Fen Lin Wu, Jin Gou, Cheng Wang
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Compositional Recurrent Neural Networks for Chinese Short Text Classification
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2016Word segmentation is the first step in Chinese natural language processing, and the error caused by word segmentation can be transmitted to the whole system. In order to reduce the impact of word segmentation and improve the overall performance of Chinese short text classification system, we propose a hybrid model of character-level and word-level ...
Changliang Li
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Orientation Identification for Chinese Short Text
2007 International Conference on Natural Language Processing and Knowledge Engineering, 2007With the rapid development of information technology, huge data are accumulated. A vast number of such data appears as short text. It is very useful to orientation identification for short text. But traditional text filtering technology based on statistics usually is ineffective when it deals with orientation, especially for Chinese short text.
Shen-zheng Zuo +2 more
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Short Chinese Text Classification Based on Correlation Analysis
2017 11th International Conference on Information & Communication Technology and System (ICTS), 2017This study proposes a new method which is short Chinese text classification based on correlation analysis. Through the association rules mining of words in short texts, using correlation groups to build a thesaurus, then repeat modifying the support level of correlation groups by training.
Tsuyoshi Usagawa
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Short Text Classification of Chinese with Label Information Assisting
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023As a common language form in oral communication, short text is hard to be used in the applications such as intent understanding, text classification and so on due to its limited content and information, as well as irregular expression and missing components.
Qianqian Xu 0003 +5 more
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Sentiment Analysis of Chinese Short Text Based on Multiple Features
The 2nd International Conference on Computing and Data Science, 2021With the rapid development of mobile internet and the increase of social platforms, higher performance requirements are put forward for sentiment analysis of Chinese short texts. The traditional deep learning models based on CNN, LSTM and other frameworks face the problem of unable to extract all the effective information contained in the text because ...
Zechun Tan, Zhiyun Chen
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Chinese Short Text Classification Based on Dependency Syntax Information
2021 The 5th International Conference on Compute and Data Analysis, 2021Short text has the characteristics of sparse features and discrete semantics. In order to extract the features of short text better, we propose a short text classification algorithm based on dependency syntax information in this paper. In terms of text representation, we train word vector based on sentences dependency triples.
Yinggang Zhang, Hongguang Xu, Ke Xu 0015
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Pseudo-siamese networks with lexicon for Chinese short text matching
Journal of Intelligent & Fuzzy Systems, 2021Short text matching is one of the fundamental technologies in natural language processing. In previous studies, most of the text matching networks are initially designed for English text. The common approach to applying them to Chinese is segmenting each sentence into words, and then taking these words as input.
Jiawen Shi +4 more
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Paraphrase Generation with Chinese Short Text Dataset
2020 5th International Conference on Computational Intelligence and Applications (ICCIA), 2020An obstacle of conducting investigation on paraphrase generation is short of high-quality, publicly-available labeled dataset of sentential paraphrases, which is particularly serious for Chinese paraphrase generation research. Therefore, the study in Chinese paraphrase generation is the starting stage.
Guo Hui Song, Yongbin Wang
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A Chinese Short Text Similarity Method Integrating Sentence-Level and Phrase-Level Semantics
ElectronicsShort text similarity, as a pivotal research domain within Natural Language Processing (NLP), has been extensively utilized in intelligent search, recommendation systems, and question-answering systems. Most existing short-text similarity models focus on
Zhiyong Xiao
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