A spam short message classification method based on word contribution
Changhui Yu · Journal of Shandong University · 2012
A classification method based on word contribution was proposed to classify spam short messages.The concept of word contribution was introduced for representing weight difference of a word in different categories,the word contribution-classification matrix was constructed,then the mean square deviation of each row in the matrix was computed to reduce dimensionalities.To determine the classification a short message belongs to,short message-category membership degrees were calculated based on word contribution.Furthermore if category candidates were more than one,the classification conflict problem could be resolved by comparing the densities of short message-category membership degree.The experimental results showed that the proposed method was superior to other classification methods in the classification result and real-time.