这是一篇综述文章，介绍文本分析的参数估计问题，主要是贝叶斯模型包括PLSA，LDA等-This technical note is intended to review the foundations of Bayesian parameter estimation in the discrete domain, which is necessary to understand the inner workings of

topic-based text analysis approaches like probabilistic latent semantic analysis (PLSA), latent Dirichlet allocation (LDA)　and other mixture models of count data.