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User-defined hot topic detection in microblogging

Published: 17 August 2013 Publication History

Abstract

With the rapid popularity of microblogging, an important information communication and spreading channel, hot topic detection in it increasingly attracts researchers' interests. Currently, their interests mostly focus on global event. However, because user-defined topics, denoted by local events, are closer, more useful and helpful to personal life, they should be paid more attention to from a practical point of view. In this paper, we propose a unified framework to detect user-defined hot topics from microblogging posts, which includes user-defined keywords expansion, relevant microblogging filter and hot topic detection. We also propose an effective algorithm for user-defined keywords expansion by fusing importance, relevance and penalty factors. The experimental results indicate the effectiveness of our framework and algorithms.

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Cited By

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  • (2020)Real-time Event Detection and Tracking in Microblog via Text Chain and Sentiment time series2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)10.1109/DSC50466.2020.00034(178-185)Online publication date: Jul-2020
  • (2020)A review of approaches for topic detection in TwitterJournal of Experimental & Theoretical Artificial Intelligence10.1080/0952813X.2020.1785019(1-27)Online publication date: 28-Jun-2020
  • (2019)What's Happening Around the World? A Survey and Framework on Event Detection Techniques on TwitterJournal of Grid Computing10.1007/s10723-019-09482-217:2(279-312)Online publication date: 31-Jul-2019
  • Show More Cited By

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  1. User-defined hot topic detection in microblogging

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    cover image ACM Other conferences
    ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
    August 2013
    419 pages
    ISBN:9781450322522
    DOI:10.1145/2499788
    • Conference Chair:
    • Tat-Seng Chua,
    • General Chairs:
    • Ke Lu,
    • Tao Mei,
    • Xindong Wu
    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]

    Sponsors

    • NSF of China: National Natural Science Foundation of China
    • University of Sciences & Technology, Hefei: University of Sciences & Technology, Hefei
    • Beijing ACM SIGMM Chapter

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 August 2013

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    Author Tags

    1. hot topic detection
    2. keywords expansion
    3. microblogging

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    ICIMCS '13
    Sponsor:
    • NSF of China
    • University of Sciences & Technology, Hefei

    Acceptance Rates

    ICIMCS '13 Paper Acceptance Rate 20 of 94 submissions, 21%;
    Overall Acceptance Rate 163 of 456 submissions, 36%

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    Cited By

    View all
    • (2020)Real-time Event Detection and Tracking in Microblog via Text Chain and Sentiment time series2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC)10.1109/DSC50466.2020.00034(178-185)Online publication date: Jul-2020
    • (2020)A review of approaches for topic detection in TwitterJournal of Experimental & Theoretical Artificial Intelligence10.1080/0952813X.2020.1785019(1-27)Online publication date: 28-Jun-2020
    • (2019)What's Happening Around the World? A Survey and Framework on Event Detection Techniques on TwitterJournal of Grid Computing10.1007/s10723-019-09482-217:2(279-312)Online publication date: 31-Jul-2019
    • (2016)Finding the True Crowds: User Filtering in MicroblogsNatural Language Understanding and Intelligent Applications10.1007/978-3-319-50496-4_50(568-574)Online publication date: 2-Dec-2016
    • (2014)An Efficient Microblog Hot Topic Detection Algorithm Based on Two Stage ClusteringProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-662-44980-6_10(90-95)Online publication date: 2014

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