The event tracking dashboard: From multilingual social media feeds to event patterns and anomalies

Prasanna Giridhar, Jongdeog Lee, Tarek Abdelzaher, Lance Kaplan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The proliferation of real-time information on social media opens up unprecedented opportunities for situation awareness that arise from extracting unfolding physical events from their social media footprints. The paper describes experiences with a new social media analysis toolkit for detecting and tracking such physical events. A key advantage of the explored analysis algorithms is that they require no prior training, and as such can operate out-of-the-box on new languages, dialects, jargon, and application domains (where by »new», we mean new to the machine), including detection of protests, natural disasters, acts of terror, accidents, and other disruptions. By running the toolkit over a period of time, patterns and anomalies are also detected that offer additional insights and understanding. Through analysis of contemporary political, military, and natural disaster events, the work explores the limits of the training-free approach and demonstrates promise and applicability.

Original languageEnglish (US)
Title of host publicationNext-Generation Analyst VI
EditorsJames Llinas, Timothy P. Hanratty
PublisherSPIE
ISBN (Electronic)9781510618176
DOIs
StatePublished - Jan 1 2018
EventNext-Generation Analyst VI 2018 - Orlando, United States
Duration: Apr 16 2018Apr 17 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10653
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherNext-Generation Analyst VI 2018
CountryUnited States
CityOrlando
Period4/16/184/17/18

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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