关键词: 文本过滤 否定选择算法 n-Gram 关联规则

Abstract:

As for the text filter design based on association rules, the paper makes the following efforts： （1）As for the charateristics of the Chinese web language, we introduce the n-Gram method to extract text features; （2）We propose the concept of edge sample; （3）When designing the text filters based   on association rules, we introduce a negative-selection algorithm to make the filters＇ detector set tolerant, and finally build a high-precision text   filter. Experiments show that the filters after proper toleration can effectively increase the precision of filtering.

Key words: text filtering, negative-selection algorithm, n-Gram, association rule