demonstration

Understanding Twitter data with TweetXplorer

Authors:

Fred Morstatter,

Shamanth Kumar,

Huan Liu,

Ross MaciejewskiAuthors Info & Claims

KDD '13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Pages 1482 - 1485

https://doi.org/10.1145/2487575.2487703

Published: 11 August 2013 Publication History

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Abstract

In the era of big data it is increasingly difficult for an analyst to extract meaningful knowledge from a sea of information. We present TweetXplorer, a system for analysts with little information about an event to gain knowledge through the use of effective visualization techniques. Using tweets collected during Hurricane Sandy as an example, we will lead the reader through a workflow that exhibits the functionality of the system.

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Cited By

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Xie JSalley CMohammadi NTaylor J(2023)Online Confirmation-Augmented Probabilistic Topic Modeling in Cyber-Physical Social Infrastructure SystemsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3626341(390-397)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3626341
Lacey LNelson J(2023)Using geovisual analytics to enrich conservation science: a review of interactive visualization of wildlife and environmental spatial data across ecosystemsInternational Journal of Cartography10.1080/23729333.2023.21906289:2(286-318)Online publication date: 28-May-2023
https://doi.org/10.1080/23729333.2023.2190628
Saura JPalacios-Marqués DRibeiro-Soriano D(2023)Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated contentThe Journal of Technology Transfer10.1007/s10961-023-10023-z48:5(1696-1722)Online publication date: 29-Jul-2023
https://doi.org/10.1007/s10961-023-10023-z
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Index Terms

Understanding Twitter data with TweetXplorer
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information & Contributors

Information

Published In

KDD '13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

August 2013

1534 pages

ISBN:9781450321747

DOI:10.1145/2487575

Editors:
Rayid Ghani
University of Chicago
,
Ted E. Senator
SAIC
,
Paul Bradley
MethodCare, Inc.
,
Rajesh Parekh
Groupon
,
Jingrui He
Stevens Institute of Technology
,
General Chairs:
Robert L. Grossman
University of Chicago and Open Data Group
,
Ramasamy Uthurusamy
General Motors Corporation (retired)
,
Program Chairs:
Inderjit S. Dhillon
University of Texas
,
Yehuda Koren
Google

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: 11 August 2013

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Demonstration

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KDD' 13

Sponsor:

KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

August 11 - 14, 2013

Illinois, Chicago, USA

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KDD '13 Paper Acceptance Rate 125 of 726 submissions, 17%;

Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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Cited By

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Xie JSalley CMohammadi NTaylor J(2023)Online Confirmation-Augmented Probabilistic Topic Modeling in Cyber-Physical Social Infrastructure SystemsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3626341(390-397)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3626341
Lacey LNelson J(2023)Using geovisual analytics to enrich conservation science: a review of interactive visualization of wildlife and environmental spatial data across ecosystemsInternational Journal of Cartography10.1080/23729333.2023.21906289:2(286-318)Online publication date: 28-May-2023
https://doi.org/10.1080/23729333.2023.2190628
Saura JPalacios-Marqués DRibeiro-Soriano D(2023)Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated contentThe Journal of Technology Transfer10.1007/s10961-023-10023-z48:5(1696-1722)Online publication date: 29-Jul-2023
https://doi.org/10.1007/s10961-023-10023-z
Tian XWu YLiu HHe Z(2022)DeFVIS: Visual Analysis of Microscopic Parameters and Macroscopic Properties of Fluoropolymers2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)10.1109/PRAI55851.2022.9904043(1292-1298)Online publication date: 19-Aug-2022
https://doi.org/10.1109/PRAI55851.2022.9904043
Rybak ARybak A(2021)Methods of Ensuring Energy Security with the Use of Hard Coal—The Case of PolandEnergies10.3390/en1418560914:18(5609)Online publication date: 7-Sep-2021
https://doi.org/10.3390/en14185609
Kagkelidis KDimitriadis IVakali A(2021)Lumina: an adaptive, automated and extensible prototype for exploring, enriching and visualizing dataJournal of Visualization10.1007/s12650-020-00718-y24:3(631-655)Online publication date: 4-Jan-2021
https://doi.org/10.1007/s12650-020-00718-y
Garcia M(2020)Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, PhilippinesCybernetics and Information Technologies10.2478/cait-2020-005220:4(141-155)Online publication date: 10-Dec-2020
https://doi.org/10.2478/cait-2020-0052
Zhang YLiu FKoura YWang H(2020)Dynamic of interactive model for information propagation across social networks mediaAdvances in Difference Equations10.1186/s13662-020-02774-y2020:1Online publication date: 29-Jun-2020
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Scotti VGiannini MCioffi F(2020)Enhanced flood mapping using synthetic aperture radar (SAR) images, hydraulic modelling, and social media: A case study of Hurricane Harvey (Houston, TX)Journal of Flood Risk Management10.1111/jfr3.1264713:4Online publication date: 16-Jul-2020
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Priya SBhanu MDandapat SGhosh KChandra J(2020)TAQE: Tweet Retrieval-Based Infrastructure Damage Assessment During DisastersIEEE Transactions on Computational Social Systems10.1109/TCSS.2019.29572087:2(389-403)Online publication date: Apr-2020
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