Author recognition by Abstract Feature Extraction
Murat Yasdi, Banu Di̇ri̇ · 2012
The purpose of this study is to show the success of Abstract Feature Extraction Method in multi dimensional feature vectors studies. Author recognition study is taken as an application area and word root and 2 gram's are chosen as feature vectors. The success of the Abstract Feature Extraction method in classification is shown on both Turkish and English data sets by comparing with feature extraction methods such as PCA, CFS, chi-square.