..., alterations and outcomes of diseases. However, there is a dearth of research in the field of intelligent diagnosis concerning the analysis of MD. Design/methodology/approach In this paper, we propose a supervised Latent Dirichlet Allocation (LDA) topic model, termed MD-LDA, which elucidates the process...

... is divided into two phases of offline topic optimization and online recommendation service to achieve high-quality and efficient personalized recommendation services. In the offline phase, the tags' topic model is constructed and then used to optimize the latent preference of users and the latent affiliation...

... sources were examined, and various techniques were identified among them. Findings Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering. Originality/value At the end of the review...

...Heng-Yang Lu; Yi Zhang; Yuntao Du Purpose Topic model has been widely applied to discover important information from a vast amount of unstructured data. Traditional long-text topic models such as Latent Dirichlet Allocation may suffer from the sparsity problem when dealing with short texts, which...

... Big data Crime Police Text mining Topic model Latent Dirichlet allocation Over the past few years, numerous studies about crime identification topic have been performed, seeking to understand the causes of crime and its variations (Agnew, 2016 ; Sherman et al., 1989 ; Weisburd...