SVD based dimensionality reduction for efficient web page classification
SVD based dimensionality reduction for efficient web page classification
This study implements word count function of Vector Space Model and singular value decomposition (SVD) technique of feature extraction based on dimensionality reduction. The proposed system presents an effective pre-processing and dimensionality reduction techniques which help the document classify by using naïve byes algorithm. The experimental results show that the proposed method enhances the performance of document classification.