Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
TABLE VII: The average runtime of initiation and per iteration of each model on Biomedicine (in milliseconds).
['Model', 'Initiation time', 'Per iteration time']
Among all models evaluated, LDA and DMM are the most efficient methods as expected. GPU-DMM is slightly slower than DMM and LDA, due to a similar Gibbs sampling process with GSDMM. LF-DMM and GPU-PDMM take much more time than GPU-DMM, because GPU-PDMM spends more time for the computational costs involved in sampling Zd and LF-DMM need much time for optimizing the topic vectors. We can see that GPU-PDMM is the slowest modeling compared with other models.