TOPIC ANALYSIS DEVICE USING ENHANCED LATENT DIRICHLET ALLOCATION MODEL AND METHOD THEREOF

摘要

The present invention relates to a topic analysis method using an enhanced latent Dirichlet allocation (LDA) model. A topic analysis method comprises: a pre-processing step of pre-processing text data included in a document; and a step of analyzing the topic from the pre-processed text data using an enhanced LDA model which adds a hierarchical Dirichlet Process (DP) structure to an LDA model structure. Sampling is executed using partially collapsed Gibbs samplers (PCG) for the enhanced LDA model.;COPYRIGHT KIPO 2020