… propose a multimodal topic model that mines correlations between visual and textual contents.
… , the proposed model incorporates knowledge priors into multi-modal topic modeling by …

… Our goal is to learn an event classifier to classify a new multi-modal event document d new
. To achieve this goal, we propose a novel multi-modal max-margin supervised topic model (…

… Particularly, the multi-modal topic model is sequentially updated at each epoch using the
newly obtained event documents and the parameters of the previous epoch. In this situation, …

… -pivot (document features), probabilistic models, and frequent pattern matching [6], [7], [8],
[44]. Hence, we will list some common approaches for topic modeling used in event detection. …

… to classify multiclass social event directly. Qian et al. [98] also proposed a novel multi-modal
event topic model (mmETM), which can effectively model social media information such as …

… , multi-modal feature fusion methods based on topic models … Blei and Jordan [4] proposed
the Corr-LDA model to capture … ], this topic model is used to model multi-modal social event …

… , we proposed a novel generative model, named Multi-modal Mention Topic Model (MMTM), …
contents in different modalities of users’ multi-modal mentioning documents in a unified way…

… events. In order to address these issues, we propose a novel Multimodal Knowledge-aware
Event … MultiModal Event Topic Model for Social Event Analysis. IEEE Trans. Multimedia 18, 2 …

… OVERALL FRAMEWORK We introduce a novel multi-modal topic memory network (MTMN) …
By employing a multi-modal blended attention network for multi-modal fusion, our model can …

… where we analyze the new event of a crisis with a model trained on previous crisis events.
First… MMBT [31]: recently proposed supervised multimodal bitransformers model for classifying …