无需词典支持和切词处理的中文文档分类

摘要

利用中文文本的N-gram信息进行中文文档分类，使中文文档分类摆脱了 对词典和切词处理的依赖。实验结果表明，该方法能够取得令人满意的分类效果。%A new idea that utilizes the adjacent Chinese character-pairs information to categorize Chinese documents is proposed so that the classifiers can shake o ff the requirements of dictionaries and segmentation processing and subsequently be domain and time independent. Such a Chinese documents categorization system is implemented on the basis of Naive Bayes and kNN methods, and the experimental results show that it can achieve satisfying categorization performance.