Search Menu
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scholarly Publications

Title: Multimodal Event Detection in Twitter Hashtag Networks

Abstract

In this study, event detection in a multimodal Twitter dataset is considered. We treat the hashtags in the dataset as instances with two modes: text and geolocation features. The text feature consists of a bag-of-words representation. The geolocation feature consists of geotags (i.e., geographical coordinates) of the tweets. Fusing the multimodal data we aim to detect, in terms of topic and geolocation, the interesting events and the associated hashtags. To this end, a generative latent variable model is assumed, and a generalized expectation-maximization (EM) algorithm is derived to learn the model parameters. The proposed method is computationally efficient, and lends itself to big datasets. Lastly, experimental results on a Twitter dataset from August 2014 show the efficacy of the proposed method.

Authors:
 [1];  [1]
+ Show Author Affiliations
  1. Univ. of Michigan, Ann Arbor, MI (United States). Department of Electrical Engineering and Computer Science
Publication Date:
Research Org.:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1454761
Grant/Contract Number:  
NA0002534
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Signal Processing Systems
Additional Journal Information:
Journal Volume: 90; Journal Issue: 2; Journal ID: ISSN 1939-8018
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Event detection; Twitter hashtag networks; Multimodal data fusion; Generative latent variable model; Variational EM algorithm

Citation Formats

Yilmaz, Yasin, and Hero, Alfred O. Multimodal Event Detection in Twitter Hashtag Networks. United States: N. p., 2016. Web. doi:10.1007/s11265-016-1151-4.
Copy to clipboard
Yilmaz, Yasin, & Hero, Alfred O. Multimodal Event Detection in Twitter Hashtag Networks. United States. https://doi.org/10.1007/s11265-016-1151-4
Copy to clipboard
Yilmaz, Yasin, and Hero, Alfred O. Fri . "Multimodal Event Detection in Twitter Hashtag Networks". United States. https://doi.org/10.1007/s11265-016-1151-4. https://www.osti.gov/servlets/purl/1454761.
Copy to clipboard
@article{osti_1454761,
title = {Multimodal Event Detection in Twitter Hashtag Networks},
author = {Yilmaz, Yasin and Hero, Alfred O.},
abstractNote = {In this study, event detection in a multimodal Twitter dataset is considered. We treat the hashtags in the dataset as instances with two modes: text and geolocation features. The text feature consists of a bag-of-words representation. The geolocation feature consists of geotags (i.e., geographical coordinates) of the tweets. Fusing the multimodal data we aim to detect, in terms of topic and geolocation, the interesting events and the associated hashtags. To this end, a generative latent variable model is assumed, and a generalized expectation-maximization (EM) algorithm is derived to learn the model parameters. The proposed method is computationally efficient, and lends itself to big datasets. Lastly, experimental results on a Twitter dataset from August 2014 show the efficacy of the proposed method.},
doi = {10.1007/s11265-016-1151-4},
journal = {Journal of Signal Processing Systems},
number = 2,
volume = 90,
place = {United States},
year = {Fri Jul 01 00:00:00 EDT 2016},
month = {Fri Jul 01 00:00:00 EDT 2016}
}
Copy to clipboard
Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1007/s11265-016-1151-4
Copyright Statement
Other availability
Search WorldCat Search WorldCat to find libraries that may hold this journal
Citation Metrics:
Cited by: 8 works
Citation information provided by
Web of Science
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referenced in this record:

A review of multivariate methods for multimodal fusion of brain imaging data
journal, February 2012

Multinomial logistic regression algorithm
journal, March 1992

  • B�hning, Dankmar
  • Annals of the Institute of Statistical Mathematics, Vol. 44, Issue 1
  • DOI: 10.1007/BF00048682

Extracting events and event descriptions from Twitter
conference, January 2011

  • Popescu, Ana-Maria; Pennacchiotti, Marco; Paranjpe, Deepa
  • Proceedings of the 20th international conference companion on World wide web - WWW '11
  • DOI: 10.1145/1963192.1963246

Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts
conference, January 2015

  • Zhao, Zhe; Resnick, Paul; Mei, Qiaozhu
  • Proceedings of the 24th International Conference on World Wide Web - WWW '15
  • DOI: 10.1145/2736277.2741637

MAQSA: a system for social analytics on news
conference, January 2012

  • Amer-Yahia, Sihem; Anjum, Samreen; Ghenai, Amira
  • Proceedings of the 2012 international conference on Management of Data - SIGMOD '12
  • DOI: 10.1145/2213836.2213924

Breaking News Detection and Tracking in Twitter
conference, August 2010

  • Phuvipadawat, Swit; Murata, Tsuyoshi
  • 2010 IEEE/ACM International Conference on Web Intelligence-Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
  • DOI: 10.1109/WI-IAT.2010.205

A Survey of Techniques for Event Detection in Twitter: TECHNIQUES FOR EVENT DETECTION IN TWITTER
journal, September 2013

  • Atefeh, Farzindar; Khreich, Wael
  • Computational Intelligence, Vol. 31, Issue 1
  • DOI: 10.1111/coin.12017

Earthquake shakes Twitter users: real-time event detection by social sensors
conference, January 2010

  • Sakaki, Takeshi; Okazaki, Makoto; Matsuo, Yutaka
  • Proceedings of the 19th international conference on World wide web - WWW '10
  • DOI: 10.1145/1772690.1772777

A survey of multi-view machine learning
journal, February 2013

Multimodal Data Fusion Based on Mutual Information
journal, September 2012

  • Bramon, R.; Boada, I.; Bardera, A.
  • IEEE Transactions on Visualization and Computer Graphics, Vol. 18, Issue 9
  • DOI: 10.1109/TVCG.2011.280

Towards Effective Event Detection, Tracking and Summarization on Microblog Data
book, January 2011

Multimodal factor analysis
conference, September 2015

  • Yilmaz, Yasin; Hero, Alfred O.
  • 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)
  • DOI: 10.1109/MLSP.2015.7324340

Optimal multimodal fusion for multimedia data analysis
conference, January 2004

  • Wu, Yi; Chang, Edward Y.; Chang, Kevin Chen-Chuan
  • Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04
  • DOI: 10.1145/1027527.1027665

Information extraction from large multi-layer social networks
conference, April 2015

  • Oselio, Brandon; Kulesza, Alex; Hero, Alfred
  • ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • DOI: 10.1109/ICASSP.2015.7179013

Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties
journal, September 2015

  • AdalI, Tulay; Levin-Schwartz, Yuri; Calhoun, Vince D.
  • Proceedings of the IEEE, Vol. 103, Issue 9
  • DOI: 10.1109/JPROC.2015.2461624

Automatic Crime Prediction Using Events Extracted from Twitter Posts
book, January 2012

  • Wang, Xiaofeng; Gerber, Matthew S.; Brown, Donald E.
  • Social Computing, Behavioral - Cultural Modeling and Prediction
  • DOI: 10.1007/978-3-642-29047-3_28

A study of retrospective and on-line event detection
conference, January 1998

  • Yang, Yiming; Pierce, Tom; Carbonell, Jaime
  • Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '98
  • DOI: 10.1145/290941.290953

Bayesian inference for the von Mises-Fisher distribution
journal, January 1976

    Sort by:
    [ × clear filter / sort ]

    Similar Records in DOE PAGES and OSTI.GOV collections: