Kernel Methods for Text Analysis
Nello Cristianini
UC Davis
Department of Statistics
"We will review some general ideas of how kernel methods can be used to embed text documents in a semantically meaningful way, and how PCA, CCA, and string matching algorithms are used in this context."
Audio (MP3 File, Podcast Ready)