Due to its inherent capability of producing interpretable and semantically coherent topics, LDA has been widely used in text analysis and shown promising performance in tasks like topic mining, browsing, and accessing document similarity.
when LDA is applied to text classification tasks, it is often used as only a dimension reduction step to extract features for consecutive discriminative models (e.g.