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Event detection using Twitter and structured semantic query expansion

Authors:

Paul H. LewisAuthors Info & Claims

CrowdSens '12: Proceedings of the 1st international workshop on Multimodal crowd sensing

Pages 7 - 14

https://doi.org/10.1145/2390034.2390039

Published: 02 November 2012 Publication History

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Abstract

Twitter is a popular tool for publishing potentially interesting information about people's opinions, experiences and news. Mobile devices allow people to publish tweets during real-time events. It is often difficult to identify the subject of a tweet because Twitter users often write using highly unstructured language with many typographical errors. Structured data related to entities can provide additional context to tweets. We propose an approach which associates tweets to a given event using query expansion and relationships defined on the Semantic Web, thus increasing the recall whilst maintaining or improving the precision of event detection. In this work, we investigate the usage of Twitter in discussing the Rock am Ring music festival. We aim to use prior knowledge of the festival's lineup to associate tweets with the bands playing at the festival. In order to evaluate the effectiveness of our approach, we compare the lifetime of the Twitter buzz surrounding an event to the actual programmed event, using Twitter users as social sensors.

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Cited By

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Yang PYang GLiu JQi JYang YWang XWang T(2020)DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social SystemsIEEE Transactions on Industrial Informatics10.1109/TII.2019.295979116:8(5317-5326)Online publication date: Aug-2020
https://doi.org/10.1109/TII.2019.2959791
Yang PLiu JQi JYang YWang XLv Z(2019)Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter DataACM Transactions on Intelligent Systems and Technology (TIST)10.1145/333947410:6(1-24)Online publication date: 10-Dec-2019
https://dl.acm.org/doi/10.1145/3339474
Romero SBecker K(2019)A framework for event classification in tweets based on hybrid semantic enrichmentExpert Systems with Applications: An International Journal10.1016/j.eswa.2018.10.028118:C(522-538)Online publication date: 15-Mar-2019
https://dl.acm.org/doi/10.1016/j.eswa.2018.10.028
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Index Terms

Event detection using Twitter and structured semantic query expansion
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web applications
    2. Web services

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Information & Contributors

Information

Published In

CrowdSens '12: Proceedings of the 1st international workshop on Multimodal crowd sensing

November 2012

28 pages

ISBN:9781450317153

DOI:10.1145/2390034

Program Chairs:
Haggai Roitman
IBM Research - Haifa, Israel
,
Iván Cantador
Universidad Autónoma de Madrid, Spain
,
Miriam Fernandez
Knowledge Media Institute, The Open University, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2012

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CIKM'12

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CIKM'12: 21st ACM International Conference on Information and Knowledge Management

November 2, 2012

Hawaii, Maui, USA

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CIKM '25

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The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

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Cited By

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Yang PYang GLiu JQi JYang YWang XWang T(2020)DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social SystemsIEEE Transactions on Industrial Informatics10.1109/TII.2019.295979116:8(5317-5326)Online publication date: Aug-2020
https://doi.org/10.1109/TII.2019.2959791
Yang PLiu JQi JYang YWang XLv Z(2019)Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter DataACM Transactions on Intelligent Systems and Technology (TIST)10.1145/333947410:6(1-24)Online publication date: 10-Dec-2019
https://dl.acm.org/doi/10.1145/3339474
Romero SBecker K(2019)A framework for event classification in tweets based on hybrid semantic enrichmentExpert Systems with Applications: An International Journal10.1016/j.eswa.2018.10.028118:C(522-538)Online publication date: 15-Mar-2019
https://dl.acm.org/doi/10.1016/j.eswa.2018.10.028
Ramachandran DRamasubramanian P(2018)Event detection from Twitter – a surveyInternational Journal of Web Information Systems10.1108/IJWIS-11-2017-007514:3(262-280)Online publication date: 20-Aug-2018
https://doi.org/10.1108/IJWIS-11-2017-0075
Anagnostopoulos IRazis GMylonas PAnagnostopoulos C(2018)Semantic query suggestion using Twitter EntitiesNeurocomputing10.1016/j.neucom.2014.12.090163:C(137-150)Online publication date: 31-Dec-2018
https://dl.acm.org/doi/10.1016/j.neucom.2014.12.090
Gao PXu ZGao S(2018)Data Explosion Model for Public Safety Data Processing and Its Application in a Unified Security SystemFrontier Computing10.1007/978-981-10-7398-4_46(448-452)Online publication date: 19-Apr-2018
https://doi.org/10.1007/978-981-10-7398-4_46
Tokarchuk LWang XPoslad S(2017)Piecing together the puzzle: Improving event content coverage for real-time sub-event detection using adaptive microblog crawlingPLOS ONE10.1371/journal.pone.018740112:11(e0187401)Online publication date: 6-Nov-2017
https://doi.org/10.1371/journal.pone.0187401
Romero SBecker KSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Improving the classification of events in tweets using semantic enrichmentProceedings of the International Conference on Web Intelligence10.1145/3106426.3106435(581-588)Online publication date: 23-Aug-2017
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He SShin DZhang JChen J(2017)Near-Optimal Allocation Algorithms for Location-Dependent Tasks in CrowdsensingIEEE Transactions on Vehicular Technology10.1109/TVT.2016.259254166:4(3392-3405)Online publication date: Apr-2017
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Han YWu H(2017)Minimum-Cost Crowdsourcing with Coverage Guarantee in Mobile Opportunistic D2D NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2017.267744916:10(2806-2818)Online publication date: 1-Oct-2017
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