In this paper, we present a novel real-time system for detecting surrounding real-world events. Our proposed framework consists of four main components.
Abstract—Social networks are quickly becoming the primary medium for discussing what is happening around real-world events. However, it is still a challenge ...
Our proposed framework consists of four main components, including text filtering, text representation, deep clustering, and event merging. After filtering non- ...
Abstract—Social networks are quickly becoming the primary medium for discussing what is happening around real-world events. However, it is still a challenge ...
Download Citation | On Sep 1, 2021, Jiaofu Zhang and others published Robust Social Event Detection via Deep Clustering | Find, read and cite all the ...
In this paper, we present a novel real-time system for detecting surrounding real-world events. Our proposed framework consists of four main components, ...
The blue social bookmark and publication sharing system.
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The task of social event detection can be formalized as extracting clusters of co-related messages from social streams (i.e., sequences of social media messages) ...
Apr 17, 2024 · Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering. Authors: Yuanyuan Guo.
Dec 15, 2023 · Guided by deep reinforcement learning, a density-based spatial clustering module is proposed to perform incremental social event detection in a ...