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- Title
Multi-modal multi-layered topic classification model for social event analysis.
- Authors
Chen, Y. H.; Yin, C. Y.; Lin, Y. J.; Zuo, W. L.
- Abstract
In this paper, we pay attention to reveal the event topics and track the evolutionary trend of social event and a novel probabilistic topic model is proposed. The Multi-modal Multi-layered Topic Classification Model (tm_MMC) for Social Event Analysis has the capacity for revealing visual and non-visual topics, by jointly modeling the textual and visual information while simultaneously learning and predicting the multi-layered category labels. In order to track the evolutionary trends of the topics online, tm_MMC uses topic intensity and heritability to incrementally build an up-to-date model. To evaluate the effectiveness of our model, we experiment using a collected data, and compare the results with those of other traditional models. The results demonstrate the effectiveness and advantages of our model against several state-of-the-art methods.
- Subjects
OPTICAL information processing; BAYESIAN analysis; COMPUTER science; PROBABILISTIC inference; ELECTRONIC information resource searching; COMPUTER network resources
- Publication
Multimedia Tools & Applications, 2018, Vol 77, Issue 18, p23291
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-017-5588-7