lost_pork的博客

Dimensinality reduction and topic modeling 0 Abstract BOW not effective facing synonym and polysemy. Dimension reduction can solve this, represent a document in lower-dimension, and reflect concepts. Two froms of dimension reduction: latent semantic index

LDA model 1 Dirichlet distribution 1.1 Binomial distribution and Beta distribution Bayes rule：  posterior∝likelihood×priorposterior \propto likelihood\times priorposterior∝likelihood×prior 共轭先验：为了使用极大后验（MAP）估计参数p时，数学形式上的方便性 X∣θ∼B(n,θ)X|\theta \sim B(