Probabilistic Latent Semantic Analysis (PLSA) is a statistical technique used to analyze co-occurrence data, often applied in natural language processing to uncover the underlying semantic structure of a corpus. It models the relationship between documents and words through a probabilistic framework, providing a more nuanced understanding than traditional Latent Semantic Analysis by incorporating uncertainty and variability in topic distribution.