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Inventions 2018, 3(4), 80; https://doi.org/10.3390/inventions3040080

A Distance-Dependent Chinese Restaurant Process Based Method for Event Detection on Social Media

1
School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
2
Department of Informatics and Computer Engineering, University of West Attica, 12243 Athens, Greece
*
Author to whom correspondence should be addressed.
Received: 2 November 2018 / Revised: 30 November 2018 / Accepted: 4 December 2018 / Published: 7 December 2018
(This article belongs to the Special Issue Innovation in Machine Intelligence for Critical Infrastructures)
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Abstract

In this paper, we propose a method for event detection on social media, which aims at clustering media items into groups of events based on their textural information as well as available metadata. Our approach is based on distance-dependent Chinese Restaurant Process (ddCRP), a clustering approach resembling Dirichlet process algorithm. Furthermore, we scrutinize the effectiveness of a series of pre-processing steps in improving the detection performance. We experimentally evaluated our method using the Social Event Detection (SED) dataset of MediaEval 2013 benchmarking workshop, which pertains to the discovery of social events and their grouping in event-specific clusters. The obtained results indicate that the proposed method attains very good performance rates compared to existing approaches. View Full-Text
Keywords: event detection; Dirichlet process clustering; distance-dependent Chinese restaurant process; Bayesian non-parametrics event detection; Dirichlet process clustering; distance-dependent Chinese restaurant process; Bayesian non-parametrics
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Palaiokrassas, G.; Voulodimos, A.; Litke, A.; Papaoikonomou, A.; Varvarigou, T. A Distance-Dependent Chinese Restaurant Process Based Method for Event Detection on Social Media. Inventions 2018, 3, 80.

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