| 1. | Review of machine learning in automatic text categorization
基于机器学习的文本自动分类研究进展 |
| 2. | The system for automatic text categorization based on chinese character vector
基于字频向量的中文文本自动分类系统 |
| 3. | Research and implementation of automatic text categorization system based on vsm
基于向量空间模型的文本自动分类系统的研究与实现 |
| 4. | Designation of a search engine based on automatic text categorization is presented in this paper
本论文还提出了一种基于文本自动分类的搜索引擎的设计。 |
| 5. | Abstract at present , there are no practical and mature automatic text categorization methods for patent data
摘要中文专利文献自动分类目前尚无成熟适用的方法。 |
| 6. | In this paper , algorithms of automatic text categorization are studied . the main work is as follows : 1
本论文主要探讨了文本自动分类的算法，所作的主要工作如下： 1 |
| 7. | The system can preferably implement automatic text categorization for chinese pages , and has a higher quality
该系统可以很好地实现一个中文网页的自动分类，且系统中的分类器具有较高的分类质量。 |
| 8. | Among the various techniques to solve spam problems , mail filtering is an effective way , especially one based on automatic text categorization technique , which is flexible and efficient
反垃圾邮件的技术有很多,邮件过滤技术是反垃圾邮件技术中较为有效的手段,而基于文本自动分类的过滤技术又是邮件过滤技术中比较灵活和高效的方法。 |
| 9. | Therefore , this paper made a research on several key techniques about text categorization , improved the non - dictionary segment and weight calculation , and then proposed a hierarchical categorization method and an automatic text categorization framework for patent data
分析了文本自动分类的关键技术，并结合专利数据的特点对无词典分词和权重计算进行了改进，提出了一种适用于专利数据分类的层次分类方法，给出了面向专利文献数据的文本自动分类系统的框架模型。 |
