Method of Spam Filtering Based on General Suffix Tree Model
Jianlong Tan, Zhang Ji, Li Guo · Jisuanji gongcheng · 2007
【Abstract】 The paper proposes a method of spam filtering based on content. It adopts general suffix tree model(GSTM), takes advantage of context location, and does string match of unfixed length, then computes the similarity between test mail and the corpus to determine the sort of E-mail. The experiments and analyses prove that the method is better than other methods based on vector space model(VSM) in both accuracy and recall when tested on the same corpus. The avoidance of word segmentation shows that the categorizing process is irrelevant with the concrete language and is a language independent method. 【Key words】Text classify; Spam; General suffix tree