LDA Modeling Sample Clauses

LDA Modeling. Latent Dirichlet allocation (LDA) is a generative probabilistic model of a corpus. The LDA algorithm uses inference to generate this probabilistic model. There are multiple algorithms that can implement Inference such as Variational Inference. ▇▇▇▇▇ Sampling etc. ▇. ▇▇▇▇ et al. [20] implemented a speech emotion recognition framework based on Variational Inference using FPGAs, which presented good results both in terms of accuracy (80%) and performance. In the sections below three different implementations of Inference are presented. The last method named sparseLDA will be analyzed further as it is very efficient in terms of performance.