Hierarchical Classification of Chinese Documents Based on N-grams

机译：基于N元语法的中文文档层次分类

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摘要

This paper explores the techniques of utilizing N-gram information to categorize Chinese text documents hierarchically so that the classifier can shake off the burden of large dictionaries and complex segmentation processing, and subsequently be domain and time independent. A hierarchical Chinese text classifier is implemented. Experimental results show that hierarchically classifying Chinese text documents based N-grams can achieve satisfactory performance and outperforms the other traditional Chinese text classifiers.

机译：本文探讨了利用N-gram信息对中文文本文档进行分层分类的技术，从而使分类器摆脱了大型词典和复杂的分割处理的负担，并因此具有时域独立性。实现了分层的中文文本分类器。实验结果表明，对基于N-gram的中文文本文档进行分层分类可以取得令人满意的性能，并且优于其他传统的中文文本分类器。

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来源
《6th International Conference on Asian Digital Libraries, ICADL 2003; Dec 8-12, 2003; Kuala Lumpur, Malaysia》|2003年|p.643-652|共10页
会议地点 Kuala Lumpur(MY);Kuala Lumpur(MY)
作者
Jihong Guan; Shuigeng Zhou;
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作者单位

School of Computer, Wuhan University, Wuhan, 420079, China;

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原文格式 PDF
正文语种 eng
中图分类信息与知识传播;
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专利

1. Hierarchical classification of Chinese documents based on N-grams [J] . Zhou Shui-geng, Guan Ji-hong, He Yan-xiang Wuhan University Journal of Natural Sciences . 2001,第1a2期

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2. Classification of documents based on contents using the n-gram method of MNB model [J] . Junaina Jamil Najim Aldin AL-Bayati International journal of computer science and network security . 2015,第10期

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3. Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning [J] . Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto IEEE Software . 2019,第5期

机译：使用N-Gram逆文档频率和自动机器学习进行情感分类
4. Hierarchical Classification of Chinese Documents Based on N-grams [C] . Jihong Guan, Shuigeng Zhou, Lecture Notes in Computer Science 2911 International Conference on Asian Digital Libraries . 2003

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5. M-InfoSift: A graph-based approach for multiclass document classification. [D] . Venkatachalam, Aravind. 2007

机译：M-InfoSift：一种基于图的多类文档分类方法。
6. Computing symmetrical strength of N-grams: a two pass filtering approach in automatic classification of text documents [O] . Deepak Agnihotri, Kesari Verma, Priyanka Tripathi -1

机译：计算N-gram的对称强度：文本文档自动分类中的两遍过滤方法
7. Novel Topic N-gram Count LM Incorporating Document-based Topic Distributions and N-gram Counts [O] . Haidar Md. Akmal, OShaughnessy D. 2014

机译：结合基于文档的主题分布和N-gram计数的新颖主题N-gram计数LM

Hierarchical Classification of Chinese Documents Based on N-grams

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