Jun 28, 2009 · Identifying events and their associated documents over social media sites is a challenging problem, as social me- dia data is inherently noisy ...

This work exploits the rich “context” associated with social media content, including user-provided annotations and automatically generated information, ...

As a key contribution of this paper, we explore a variety of techniques for learning multi-feature similarity metrics for social media documents in a principled ...

Jul 12, 2022 · Event detection is a computational operation that enables the automatic identification of significant incidents by analysing social media data.

... event-related discussions evolve in social media affects the event identification process. ... Identifying content for planned events across social media sites.

Most of them focus on event detection from user-generated content that describes breaking news or social events [86, 7, 124]. Automatic event detection is ...

Social networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics.

Event detection from Twitter data streams involves techniques from various areas, such as natural language processing, text mining, information retrieval (IR) ...

As the name suggests, event detection is a method to find the events from the published information on social media, such as their posts, comments, and shares.

Recent event detection techniques address these challenges by exploiting the opportunities behind abundant information available in social networks. This ...