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Tweetviz: Visualizing Tweets for Business Intelligence

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SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Pages 1153 - 1156

https://doi.org/10.1145/2911451.2911470

Published: 07 July 2016 Publication History

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Abstract

Social media offers potential opportunities for businesses to extract business intelligence. This paper presents Tweetviz, an interactive tool to help businesses extract actionable information from a large set of noisy Twitter messages. Tweetviz visualizes the tweet sentiment of business locations, identifies other business venues that Twitter users visit, and estimates some simple demographics of the Twitter users frequenting a business. A user study to evaluate the system's ability indicates that Tweetviz can provide an overview of a business's issues and sentiment as well as information aiding users in creating customer profiles.

References

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N. Diakopoulos, M. Naaman, and F. Kivran-Swaine. Diamonds in the rough: Social media visual analytics for journalistic inquiry. In Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on, pages 115--122. IEEE, 2010.

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A. Marcus, M. S. Bernstein, O. Badar, D. R. Karger, S. Madden, and R. C. Miller. Twitinfo: aggregating and visualizing microblogs for event exploration. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 227--236. ACM, 2011.

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Cited By

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Al Hariri YChausson SRoss BMagdy WFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)TwiXplorer: An Interactive Tool for Narrative Detection and Analysis in Historic Twitter DataCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681815(83-86)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681815
Müter Lvan der Plaat JZoet AVan Nimwegen CVeltkamp R(2024)Enhancing Open-Source Intelligence: Introducing the Functional Intelligence Tool (FINT)2024 9th International Conference on Big Data Analytics (ICBDA)10.1109/ICBDA61153.2024.10607337(334-343)Online publication date: 16-Mar-2024
https://doi.org/10.1109/ICBDA61153.2024.10607337
Sehnan DGoel VMasud SJain CGoyal VChakraborty T(2023)DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large NetworksACM Transactions on Knowledge Discovery from Data10.1145/355877117:4(1-33)Online publication date: 24-Feb-2023
https://dl.acm.org/doi/10.1145/3558771
Show More Cited By

Index Terms

Tweetviz: Visualizing Tweets for Business Intelligence
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
  2. Visualization
    1. Visualization design and evaluation methods

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Information

Published In

SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

July 2016

1296 pages

ISBN:9781450340694

DOI:10.1145/2911451

General Chairs:
Raffaele Perego
ISTI-CNR, Italy
,
Fabrizio Sebastiani
Qatar Computing Research Institute, HBKU, Qatar
,
Program Chairs:
Javed Aslam
Northeastern University, US
,
Ian Ruthven
University of Strathclyde, UK
,
Justin Zobel
University of Melbourne, Australia

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: 07 July 2016

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SIGIR '16

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SIGIR

SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval

July 17 - 21, 2016

Pisa, Italy

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SIGIR '16 Paper Acceptance Rate 62 of 341 submissions, 18%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all

Al Hariri YChausson SRoss BMagdy WFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)TwiXplorer: An Interactive Tool for Narrative Detection and Analysis in Historic Twitter DataCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681815(83-86)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681815
Müter Lvan der Plaat JZoet AVan Nimwegen CVeltkamp R(2024)Enhancing Open-Source Intelligence: Introducing the Functional Intelligence Tool (FINT)2024 9th International Conference on Big Data Analytics (ICBDA)10.1109/ICBDA61153.2024.10607337(334-343)Online publication date: 16-Mar-2024
https://doi.org/10.1109/ICBDA61153.2024.10607337
Sehnan DGoel VMasud SJain CGoyal VChakraborty T(2023)DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large NetworksACM Transactions on Knowledge Discovery from Data10.1145/355877117:4(1-33)Online publication date: 24-Feb-2023
https://dl.acm.org/doi/10.1145/3558771
Golder SStevens RO'Connor KJames RGonzalez-Hernandez G(2022)Methods to Establish Race or Ethnicity of Twitter Users: Scoping ReviewJournal of Medical Internet Research10.2196/3578824:4(e35788)Online publication date: 29-Apr-2022
https://doi.org/10.2196/35788
Madila SDida MKaijage S(2021)A Review of Usage and Applications of Social Media AnalyticsJournal of Information Systems Engineering and Management10.21601/jisem/109586:3(em0141)Online publication date: 2021
https://doi.org/10.21601/jisem/10958
Humayoun SMansour IAlTarawneh R(2021)TEVisE: An Interactive Visual Analytics Tool to Explore Evolution of Keywords’ Relations in Tweet DataHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_37(579-599)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-85613-7_37
de Oliveira Júnior Gde Oliveira Albuquerque RBorges de Andrade Cde Sousa RSandoval Orozco AGarcía Villalba L(2020)Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment AnalysisSensors10.3390/s2016455720:16(4557)Online publication date: 14-Aug-2020
https://doi.org/10.3390/s20164557
Magdy A(2020)MicroblogsSIGSPATIAL Special10.1145/3404820.340482712:1(41-52)Online publication date: 8-Jul-2020
https://dl.acm.org/doi/10.1145/3404820.3404827
Magdy AAbdelhafeez LKang YOng EMokbel M(2019)Microblogs data management: a surveyThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-019-00569-629:1(177-216)Online publication date: 18-Sep-2019
https://dl.acm.org/doi/10.1007/s00778-019-00569-6
Roberts RLaramee R(2018)Visualising Business Data: A SurveyInformation10.3390/info91102859:11(285)Online publication date: 17-Nov-2018
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