A Spatial‐Temporal Model for Event Detection in Social Media

Șerban Boghiu, Daniela Gîfu
2020 Procedia Computer Science  
Nowadays, the interest in data modelling from the spatial-temporal perspective is constantly increasing. Moreover, a wide variety of applications, such as social network data, need to be done to study spatiotemporal patterns. In general, however, these patterns are highly complex and challenging, so it is a demanding process to analyze or to classify them as the conventional context in various types of event data. In order to analyze the traffic viral within the text from the perspective of
more » ... essive negative effects, we should spatial-temporally localize the event and geographical regions and give a semantically interpreting of what happened. We propose a review of the best models and techniques applied for social media data processing to formalize a novel theory of action and time. This investigation intends to draw the basic knowledge level over which research intended to decipher in texts the occurrence of events, together with their involved characters, and their relationship with time and space.
doi:10.1016/j.procs.2020.08.056 pmid:33042295 pmcid:PMC7531980 fatcat:5ceuscqcszhshdfmseugbdmjs4