...题爬行 王辉 左万利 互联网的飞速发展使得主题爬行程序需要处理的网页越来越复杂,现在有相当数量的网页是多主题的(Multi-Topic)。如何在一个网页内部进行有选择的爬行,是近年来研究人员渴望解决的问题之一。
基于8个网页-相关网页
multi-topic integrated questionnaire 多题目综合调查表
Multi-topic Text Classification 多主题文本分类
Multi-Topic Focused Search Engine 多领域主题搜索引擎
To solve the problem of multi-topic problem in training documents, an approach which is based on cluster analysis has been introduced.
针对训练文本集中往往存在多个主题类别的问题，提出一种基于聚类分析策略的文本偏好挖掘方法。
The experiment on close test shows that the precision of topic partition for multi-topic text and single-topic text reach 92.2% and 99.1% respectively.
实验结果表明，该算法对多主题文章的主题划分准确率为92.2%，对单主题文章的主题划分准确率为99.1%。
Specialization also provides support for multi-level or hierarchical specializations, which allow more general topic types to serve as the common denominator for different specialized types.
专门化还为多层或分级规范提供了支持，允许更一般的主题类型作为不同特殊类型的公共基础。
应用推荐