收稿日期: 2008-10-13
修回日期: 2008-11-07
网络出版日期: 2009-05-15
基金资助
国家863研究计划(2006AA01Z454)项目资助
Comparative study on text representation schemes in Chinese text classification
Received date: 2008-10-13
Revised date: 2008-11-07
Online published: 2009-05-15
张爱华 , 荆继武 , 向继 . 中文文本分类中的文本表示因素比较[J]. 中国科学院大学学报, 2009 , 26(3) : 400 -407 . DOI: 10.7523/j.issn.2095-6134.2009.3.015
We investigated the representation methods for text classification, proposed the framework of analyzing Chinese text representation algorithms, analyzed the influence of text representation, and obtained the influence of variable text representation factors on classification effect. Using Chinese characters can directly obtain better effect than expected; there is little difference on classification effect among splitting articles with smaller or huger dictionary or even by complicated splitting algorithm; and classification with only 01 to represent whether a feature is presented in a text or not can lead to not bad effect. We also found it can greatly improve classification effect to use reasonable vector value such as suitable formalization algorithm. These conclusions have provided instructions to contifurther applications.
Key words： Chinese text classification; text presentation; vectorization
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