Latent Semantic Analysis
摘要
This chapter introduces an unsupervised learning method—Latent Semantic Analysis (LSA), first describing the word vector space model and the topic vector space model, followed by the SVD algorithm for LSA, and the Non-negative matrix factorization (NMF) algorithm.