Multi-Modal Event Topic Model for Social Event Analysis
Abstract of Multi-Modal Event Topic Model for Social Event Analysis
Multi-Modal Event Topic Model for Social Event Analysis
Multi-Modal Event Topic Model for Social Event Analysis.With the rapid development of Internet, more and more social media sites have emerged.
People are able to conveniently generate and share rich social multimedia content online.
To apply the mmETM model to social event tracking, we adopt an incremental learning strategy denoted as incremental mmETM, which can obtain informative textual and visual topics of social events over time to help understand these events and their evolutionary trends
To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments.
Both qualitative and quantitative evaluations demonstrate that the proposed mmETM algorithm performs favorably against several state-of-the-art methods.
Conclusion
In this paper, we propose a novel multi-modal social event tracking and evolution framework to obtain the evolutionary trends of social events and generate effective event summary details over time.
Our proposed mmETM can model the multi-modal property of social event and learn the correlations between textual and visual modalities to separate the visual-representative topics and non-visual-representative topics
To apply this model for social event tracking, we adopt an effective incremental updating strategy.
