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Automatic Identification of Stop Words in Chinese Text Classification
2008 International Conference on Computer Science and Software Engineering, 2008Text classification is an active research area in information retrieval and natural language processing. A fundamental tool in text classification is a list of 'stop' words(stop word list) that is used to identify frequent words that are unlikely to assist in classification and hence are deleted during pre-processing.
Lili Hao, Lizhu Hao
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Word-Character Attention Model for Chinese Text Classification
International Journal of Machine Learning and Cybernetics, 2019Recent progress in applying neural networks to image classification has motivated the exploration of their applications to text classification tasks. Unlike the majority of these researches devoting to English corpus, in this paper, we focus on Chinese text, which is more intricate in semantic representations.
Chen Peng, Yangfeng Hu, Xue Qiao
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Adversarial Examples for Chinese Text Classification
2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC), 2020Deep neural networks (DNNs) have been widely adopted in various areas such as image recognition and natural language processing. However, many works show that DNNs for image classification are vulnerable to adversarial examples, which are generated by adding small-magnitude perturbations to the original inputs.
Yushun Xie +5 more
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An Improved Chinese Text Classification Ensemble Model
2021 5th International Conference on Digital Signal Processing, 2021This paper gave an improved ensemble model for Chinese text classification based on CNN and RNN structure. We first changed the bidirectional LSTM structure in the TextRCNN model to a bidirectional GRU structure and added a learning rate reduction mechanism into it. Then TextCNN model was also added into a learning rate reduction mechanism.
Jun Liang 0002 +3 more
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Overview of Chinese Text Classification
2021[Goal] The goal is to sort out the key development nodes, algorithms and models in the field of Chinese text categorization, so as to facilitate researchers to sort out the development context and provide practical guidance. [Methods] Through CNKI database and VIP database, the related literatures of Chinese text classification were retrieved, and the ...
Xing Meng, Jian Fei Shao
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Radical features for Chinese text classification
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012Chinese radicals play important roles in forming Chinese character's semantic meaning. The semantic properties of radicals make them a promising source of information to be analyzed in text mining and content extraction. However, until recently there is little research work concentrating on using the radical set in text mining related tasks.
He Hu 0001, Xiaoyong Du 0001
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Research on Sentiment Classification of Chinese Transition Text
Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence, 2020The research on text sentiment classification has been very popular. The main methods include the methods based on rules and lexicons, machine statistical learning, and neural network methods. These methods have achieved great success in text sentiment classification, but there are still many defects.
Zhichao Zhu, Cui Zhu, Wenjun Zhu
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A Study on Automatic Chinese Text Classification
2011 International Conference on Document Analysis and Recognition, 2011In this paper, we perform Chinese text classification using N-gram (uni-gram, bi-gram and mixed uni-gram/bi-gram) frequency feature instead of word frequency feature to represent documents and propose the use of mixed uni-gram/bi-gram after feature transformation.
Xi Luo +3 more
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Chinese Text Classification Review
2018 9th International Conference on Information Technology in Medicine and Education (ITME), 2018Text classification technology refers to the process of supervised learning of specified texts based on fixed rules. This paper describes the development process of text classification and its method techniques, including text representation, feature selection and classification algorithms, and draws the basic ideas, advantages and disadvantages of ...
Yajing Ma +3 more
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