Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Detecting Anomalous Ratings Using Matrix Factorization for Recommender Systems Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Detecting Live Events by Mining Textual and Spatial-Temporal Features from Microblogs

Authors : Zhejun Zheng, Beihong Jin, Yanling Cui, Qiang Ji

Published in: Web-Age Information Management

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

As microblogging services on the mobile devices are widely used, microblogs can be viewed as a kind of event sensor to perceive the dynamic behaviors in the city. In particular, detecting live events in microblogs, such as mass gathering, emergencies, etc., can help to understand what happened from the point of view of people who are present. For identifying the live events from a large number of short and noisy microblogs, the paper builds a generative probabilistic model named the ST-LDA model to cluster the microblogs whose semantics, time and space are similar into the same topic, and then determines the live events from the topics by an HMM-based method. The paper conducts the experiments on the real microblogs from weibo.com. Experimental results show that our method can detect live events more accurately and more completely than the LDA-based method and the TimeLDA-based method.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction
next chapter A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data
Literature
1.
Zhang, W., Qi, G., Pan, G.: City-scale social event detection and evaluation with taxi traces. Trans. Intell. Syst. Technol. Article No. 40 6(3). ACM (2015)
2.
Du, R., Yu, Z., Mei, T.: Predicting activity attendance in event-based social networks: content, context and social influence. In: International Joint Conference on Pervasive and Ubiquitous Computing, pp. 425–434. ACM (2014)
3.
Lee, R., Wakamiya, S., Sumiya, K.: Discovery of unusual regional social activities using geo-tagged microblogs. World Wide Web 14(4), 321–349 (2011)CrossRef
4.
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: International Conference on World Wide Web, pp. 851–860. ACM (2010)
5.
Sankaranarayanan, J., Samet, H., Teitler, B.E.: Twitterstand: news in Tweets. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 42–51. ACM (2009)
6.
Becker, H., Naaman, M., Gravano, L.: Learning similarity metrics for event identification in social media. In: International Conference on Web Search and Data Mining, pp. 291–300. ACM (2010)
7.
Becker, H., Naaman, M., Gravano, L.: Beyond trending topics: real-world event identification on Twitter. In: International Conference on Web and Social Media, pp. 438–441 (2011)
8.
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)MATH
9.
Ramage, D., Dumais, S.T., Liebling, D.J.: Characterizing microblogs with topic models. In: International Conference on Web and Social Media, pp. 130–137 (2010)
10.
Wang, X., McCallum, A.: Topics over time: a non-Markov continuous-time model of topical trends. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 424–433. ACM (2006)
11.
Diao, Q., Jiang, J., Zhu, F.: Finding bursty topics from microblogs. In: Annual Meeting of the Association for Computational Linguistics: Long Papers-vol. 1, pp. 536–544. ACL (2012)
12.
Zhou, D., Chen, L., He, Y.: An unsupervised framework of exploring events on Twitter: filtering, extraction and categorization. In: 29th AAAI Conference on Artificial Intelligence, pp. 2468–2474 (2015)
Metadata
Title
Detecting Live Events by Mining Textual and Spatial-Temporal Features from Microblogs
Authors
Zhejun Zheng
Beihong Jin
Yanling Cui
Qiang Ji
Copyright Year
2016
Book
Web-Age Information Management

Print ISBN: 978-3-319-39957-7

Electronic ISBN: 978-3-319-39958-4

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39958-4_28