The white paper presents Acuity's topic model, grounded in the Latent Dirichlet Allocation (LDA) approach. This unsupervised, probabilistic model interprets documents as mixtures of latent topics, efficiently learning text structures without needing labeled data. LDA's strength lies in its unique representation of word distributions within topics.