High Performance Chinese Spam Filter
Lei Guohua · Zhongwen xinxi xuebao · 2010
We designed and implemented a high performance Chinese spam filter.Online filtering mode is adopted in order to defense the evolution of spam emails.Logistic regression model is used as its filtering model;byte level N-gram is put forward to extract email's features;and the filter is trained with TONE(Train On or Near Error) method.The performance of our filter is evaluated on Chinese spam corpora.It outperforms the best system in TREC 06 spam filtering track,gets 0.0000% of 1-ROCA on SEWM07 immediate feedback task and ranks top in all SEWM 08 online learning tasks.