A differential LSI method for document classification
Liang Chen, Naoyuki Tokuda, 彰 永井 · 2003
We have developed an effective probabilistic classifier for document classification by introducing the concept of the differential document vectors and DLSI (differential latent semantics index) spaces. A simple posteriori calculation using the intra- and extra-document statistics demonstrates the advantage of the DLSI space-based probabilistic classifier over the popularly used LSI space-based classifier in classification performance.