From Twitter to detector: Real-time traffic incident detection using social media data

2016 ◽  
Vol 67 ◽  
pp. 321-342 ◽  
Author(s):  
Yiming Gu ◽  
Zhen (Sean) Qian ◽  
Feng Chen
2020 ◽  
Vol 1 ◽  
pp. 159-175
Author(s):  
Xiangpeng Wan ◽  
Michael C. Lucic ◽  
Hakim Ghazzai ◽  
Yehia Massoud

Author(s):  
Rodrigo Martínez-Castaño ◽  
Juan C. Pichel ◽  
David E. Losada 

In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance tasks. The processing and analytical needs of multiple screening tasks can easily be handled by incorporating user-defined execution graphs. The design is modular and supports different processing elements, such as crawlers to extract relevant contents or classifiers to categorise Social Media. We describe here an implementation of a use case built on the platform that monitors Social Media users and detects early signs of depression.


Author(s):  
Maryam Afzaal ◽  
Nazifa Nazir ◽  
Khadija Akbar ◽  
Sidra Perveen ◽  
Umer Farooq ◽  
...  

2015 ◽  
Vol 54 ◽  
pp. 169-188 ◽  
Author(s):  
Akira Kinoshita ◽  
Atsuhiro Takasu ◽  
Jun Adachi

Author(s):  
Duc Kinh Le Tran ◽  
Cécile Bothorel ◽  
Pascal Cheung Mon Chan ◽  
Yvon Kermarrec

2019 ◽  
Vol 4 (3) ◽  
pp. 260
Author(s):  
Sharifah Sakinah Syed Ahmad ◽  
Anis Naseerah Binti Shaik Osman ◽  
Halizah Basiron

Sign in / Sign up

Export Citation Format

Share Document