Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
By Takeshi Sakaki, Makoto Okazaki, Yutaka Matsuo. IEEE Transactions on Knowledge and Data Engineering, 2013
518 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Communication, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/b0e674711ab9fa603005307e02823e83ae834a10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jerzy Stefanowski
- Eleonora D'Andrea
- Vincent Lemaire
- Beatrice Lazzerini
- Francesco Marcelloni
- Eyke Hüllermeier
- Indrė Žliobaitė
- Pietro Ducange
In Communication
In Statistical and Nonlinear Physics
- Vincent Lemaire
- Myra Spiliopoulou
- Francesco Marcelloni
- Eyke Hüllermeier
- Jerzy Stefanowski
- Georg Krempl
- Indrė Žliobaitė
- Tino Noack
Citations in the corpus
- Real-Time Crisis Mapping of Natural Disasters Using Social Media (2014, background): “Current real-time geospatial information systems (GIS) mostly map social media microblog reports using geotag metadata with longitude/latitude coordinates.”
- Open challenges for data stream mining research (2014, methodology): “For example, since the detection of events is a main prerequisite for analyzing them, the combination of EHA with methods for event detection [36] is an important challenge.”
- Real-Time Detection of Traffic From Twitter Stream Analysis (2015, methodology): “Regarding large-scale event detection, Sakaki et al. [6] use Twitter streams to detect earthquakes and typhoons, by monitoring special trigger-keywords, and by applying an SVM as a binary classifier of positive events (earthquakes and typhoons) and negative events (non-events or other events).”