Translated Title
Relation Topic Model Based on Links
Translated Abstract
LDA model is a complete model of probability topic generation, which can use effective probability algorithm to train and use model. However, LDA model does not consider the effect of link between documents on topic generation in training process. In the RTM model of this paper, the link between the documents is added to the calculation, and the calculation process uses the EM algorithm to calculate the potential variables. Because it cannot be accurately calculated, the variational distribution algorithm is used. Finally, we predict the data without training, according to the document prediction link and the link prediction document. We can see that the two RTM models in the dataset are all good.
Access Number
WF:perioarticalHANS201704270110
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