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Multimedia summarization for trending topics in microblogs

Published: 27 October 2013 Publication History

Abstract

Microblogging services have revolutionized the way people exchange information. Confronted with the ever-increasing numbers of microblogs with multimedia contents and trending topics, it is desirable to provide visualized summarization to help users to quickly grasp the essence of topics. While existing works mostly focus on text-based methods only, summarization of multiple media types (e.g., text and image) are scarcely explored. In this paper, we propose a multimedia microblog summarization framework to automatically generate visualized summaries for trending topics. Specifically, a novel generative probabilistic model, termed multimodal-LDA (MMLDA), is proposed to discover subtopics from microblogs by exploring the correlations among different media types. Based on the information achieved from MMLDA, a multimedia summarizer is designed to separately identify representative textual and visual samples and then form a comprehensive visualized summary. We conduct extensive experiments on a real-world Sina Weibo microblog dataset to demonstrate the superiority of our proposed method against the state-of-the-art approaches.

References

[1]
D. Chakrabarti and K. Punera. Event summarization using tweets. In ICWSM, 2011.
[2]
Y. Chang, X. Wang, Q. Mei, and Y. Liu. Towards twitter context summarization with user influence models. In WSDM, 2013.
[3]
G. Erkan and D. R. Radev. Lexpagerank: Prestige in multi-document text summarization. In EMNLP, 2004.
[4]
Y. Gong and X. Liu. Generic text summarization using relevance measure and latent semantic analysis. In SIGIR, 2001.
[5]
A. Haghighi and L. Vanderwende. Exploring content models for multi-document summarization. In NAACL HLT, 2009.
[6]
D. Inouye and J. K. Kalita. Comparing twitter summarization algorithms for multiple post summaries. In SocialCom, 2011.
[7]
C.-Y. Lin. Rouge: A package for automatic evaluation of summaries. In Text Summarization Branches Out: ACL-04 Workshop, 2004.
[8]
A. Nenkova and L. Vanderwende. The impact of frequency on summarization. Microsoft Research, Redmond, Washington, Tech. Rep. MSR-TR-2005-101, 2005.
[9]
D. R. Radev, H. Jing, M. Sty's, and D. Tam. Centroid-based summarization of multiple documents. Information Processing & Management, 2004.
[10]
B. Sharifi, M.-A. Hutton, and J. Kalita. Summarizing microblogs automatically. In NAACL HLT, 2010.
[11]
D. Shen, J.-T. Sun, H. Li, Q. Yang, and Z. Chen. Document summarization using conditional random fields. In ACL, 2007.
[12]
J. Song, Y. Yang, Y. Yang, Z. Huang, and H. T. Shen. Inter-media hashing for large-scale retrieval from heterogeneous data sources. In SIGMOD, 2013.
[13]
D. Wang, T. Li, S. Zhu, and C. Ding. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. In SIGIR, 2008.
[14]
Y. Yang, Y. Yang, and H. T. Shen. Effective transfer tagging from image to video. TOMCCAP, 2013.

Cited By

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  • (2024)Exploring the Trade-Off within Visual Information for MultiModal Sentence SummarizationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657753(2006-2017)Online publication date: 10-Jul-2024
  • (2024)Graph-Based Multimodal Topic Modeling With Word Relations and Object RelationsIEEE Transactions on Multimedia10.1109/TMM.2024.337817326(8210-8225)Online publication date: 19-Mar-2024
  • (2024)Extracting the Full Story: A Multimodal Approach and Dataset to Crisis Summarization in TweetsIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.343669011:6(7846-7856)Online publication date: Dec-2024
  • Show More Cited By

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cover image ACM Conferences
CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
October 2013
2612 pages
ISBN:9781450322638
DOI:10.1145/2505515
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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New York, NY, United States

Publication History

Published: 27 October 2013

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Author Tags

  1. microblog
  2. social media
  3. summarizationa
  4. trending topic

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CIKM'13
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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
October 27 - November 1, 2013
California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

View all
  • (2024)Exploring the Trade-Off within Visual Information for MultiModal Sentence SummarizationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657753(2006-2017)Online publication date: 10-Jul-2024
  • (2024)Graph-Based Multimodal Topic Modeling With Word Relations and Object RelationsIEEE Transactions on Multimedia10.1109/TMM.2024.337817326(8210-8225)Online publication date: 19-Mar-2024
  • (2024)Extracting the Full Story: A Multimodal Approach and Dataset to Crisis Summarization in TweetsIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.343669011:6(7846-7856)Online publication date: Dec-2024
  • (2023)A Survey on Multi-modal SummarizationACM Computing Surveys10.1145/358470055:13s(1-36)Online publication date: 13-Jul-2023
  • (2023)Coherent Topic Modeling for Creative Multimodal Data on Social MediaProceedings of the ACM Web Conference 202310.1145/3543507.3587433(3923-3927)Online publication date: 30-Apr-2023
  • (2023)Abstractive Summarization for Video: A Revisit in Multistage Fusion Network With Forget GateIEEE Transactions on Multimedia10.1109/TMM.2022.315799325(3296-3310)Online publication date: 1-Jan-2023
  • (2023)Multimodal Topic Modeling by Exploring Characteristics of Short Text Social MediaIEEE Transactions on Multimedia10.1109/TMM.2022.314706425(2430-2445)Online publication date: 1-Jan-2023
  • (2023)Bibliometric analysis of literature on social media trends during the COVID-19 pandemicOnline Information Review10.1108/OIR-05-2023-019448:4(764-782)Online publication date: 22-Dec-2023
  • (2023)Multimodal Learning for Automatic Summarization: A SurveyAdvanced Data Mining and Applications10.1007/978-3-031-46664-9_25(362-376)Online publication date: 27-Aug-2023
  • (2022)Leveraging multimodal content for podcast summarizationProceedings of the 37th ACM/SIGAPP Symposium on Applied Computing10.1145/3477314.3507106(863-870)Online publication date: 25-Apr-2022
  • Show More Cited By

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