基于语义的关键词过滤权重算法

Weight Algorithm for keywords Filtering Based on Semantics

在关键词权重统计算法的基础上,从语义角度出发,通过关键词对主题的表征强度并考虑关键词在文档中的位置等其他因素来计算关键词权重,为此创造性地提出了基于语义的矩阵词典和权重策略,使过滤更高效且权重取值更合理。实验表明,其对不良网页的过滤准确率也更高。

Based on statistic algorithm, we can take advantage of semantic knowledge to calculate the weight of keywords through the symbolizing intensity of the keywords＇ coefficient in relation with a given subject. Besides we can also consider the keyword＇s position in the document at the same time. For the above purpose, this paper has creatively brought forward a new matrix dictionary and weight algorithm based on semantics, which makes filtering more effective and reasonable. Our experiment shows that filtering precision is much higher than that in a traditional way when filtering bad webpage.