GAZOUILLE: Detecting and Illustrating Local Events from Geolocalized Social Media Streams

被引：2

作者：

Houdyer, Pierre ^{[1
]}

Zimmerman, Albrecht ^{[2
]}

Kaytoue, Mehdi ^{[2
]}

Plantevit, Marc ^{[3
]}

Mitchell, Joseph ^{[1
]}

Robardet, Celine ^{[2
]}

机构：

[1] Tapastreet Ltd, Dublin, Ireland

[2] INSA Lyon, CNRS, LIRIS UMR5205, F-69621 Villeurbanne, France

[3] Univ Lyon 1, CNRS, LIRIS UMR5205, F-69622 Lyon, France

来源：

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT III | 2015年 / 9286卷

关键词：

D O I：

10.1007/978-3-319-23461-8_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present Gazouille, a system for discovering local events in geo-localized social media streams. The system is based on three core modules: (i) social networks data acquisition on several urban areas, (ii) event detection through time series analysis, and (iii) a Web user interface to present events discovered in real-time in a city, associated to a gallery of social media that characterize the event.

引用

页码：276 / 280

页数：5

共 50 条

[21] Dynamic windowing mechanism to combine sentiment and N-gram analysis in detecting events from social media
Zahra Toosinezhad
Mohamad Mohamadpoor
Hadi Tabatabaee Malazi
Knowledge and Information Systems, 2019, 60 : 179 - 196
[22] Dynamic windowing mechanism to combine sentiment and N-gram analysis in detecting events from social media
Toosinezhad, Zahra
Mohamadpoor, Mohamad
Malazi, Hadi Tabatabaee
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 60 (01) : 179 - 196
[23] Detecting Social Ties and Copying Events from Affiliation Data
Friedland, Lisa
PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10), 2010, : 1982 - 1983
[24] Detecting evolutionary stages of events on social media: A graph-kernel-based approach
Mu, Lin
Jin, Peiquan
Zhao, Jie
Chen, Enhong
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2021, 123 : 219 - 232
[25] Detecting events from continuous media by intermodal collaboration and knowledge use
Babaguchi, N
Sasamori, S
Kitahashi, T
Jain, R
IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS, PROCEEDINGS VOL 1, 1999, : 782 - 786
[26] Detecting events from continuous media by intermodal collaboration and knowledge use
Osaka Univ, Osaka, Japan
Int Conf Multimedia Comput Syst Proc, (782-786):
[27] Discovering Events from Social Media for Emergency Planning
Naseem, Momna
Shafiq, Basit
Chun, Soon A.
Shamail, Shafay
Adam, Nabil R.
PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH (DGO2019): GOVERNANCE IN THE AGE OF ARTIFICIAL INTELLIGENCE, 2019, : 109 - 116
[28] Visual topic discovering, tracking and summarization from social media streams
Zhao Lu
Yu-Ru Lin
Xiaoxia Huang
Naixue Xiong
Zhijun Fang
Multimedia Tools and Applications, 2017, 76 : 10855 - 10879
[29] Visual topic discovering, tracking and summarization from social media streams
Lu, Zhao
Lin, Yu-Ru
Huang, Xiaoxia
Xiong, Naixue
Fang, Zhijun
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (08) : 10855 - 10879
[30] Detecting signals of detrimental prescribing cascades from social media
Hoang, Tao
Liu, Jixue
Pratt, Nicole
Zheng, Vincent W.
Chang, Kevin C.
Roughead, Elizabeth
Li, Jiuyong
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2016, 71 : 43 - 56

← 1 2 3 4 5 →