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A Cross-media Sentiment Analytics Platform For Microblog

Authors:

Chao Chen,

Fuhai Chen,

Donglin Cao,

Rongrong JiAuthors Info & Claims

MM '15: Proceedings of the 23rd ACM international conference on Multimedia

Pages 767 - 769

https://doi.org/10.1145/2733373.2807398

Published: 13 October 2015 Publication History

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Abstract

In this demo, a cross-media public sentiment analysis system is presented. The system presents and visualizes the sentiments of microblog data by organizing the results by region, topic, and content, respectively. Such sentiment is obtained by fusing of sentiment classification scores from both visual and textual channel. In such a way, social multimedia sentiment is shown in a multi-level and user-friendly form.

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References

[1]

D. Borth, R. Ji, T. Chen, T. Breuel, and S.-F. Chang. Large-scale visual sentiment ontology and detectors using adjective noun pairs. In Proceedings of the 21st ACM international conference on Multimedia, pages 223--232. ACM, 2013.

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[2]

D. Cao, R. Ji, D. Lin, and S. Li. A cross-media public sentiment analysis system for microblog. Multimedia Systems, pages 1--8, 2014.

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Cited By

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Zhang XWang MZeng X(2024)Multi-modal Feature Fistillation Emotion Recognition Method For Social Media2024 IEEE 24th International Conference on Software Quality, Reliability and Security (QRS)10.1109/QRS62785.2024.00051(445-454)Online publication date: 1-Jul-2024
https://doi.org/10.1109/QRS62785.2024.00051
Das RSingh T(2023)Multimodal Sentiment Analysis: A Survey of Methods, Trends, and ChallengesACM Computing Surveys10.1145/358607555:13s(1-38)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3586075
Olshannikova EOlsson THuhtamäki JKärkkäinen H(2017)Conceptualizing Big Social DataJournal of Big Data10.1186/s40537-017-0063-x4:1Online publication date: 25-Jan-2017
https://doi.org/10.1186/s40537-017-0063-x

Index Terms

A Cross-media Sentiment Analytics Platform For Microblog
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology

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Information & Contributors

Information

Published In

MM '15: Proceedings of the 23rd ACM international conference on Multimedia

October 2015

1402 pages

ISBN:9781450334594

DOI:10.1145/2733373

General Chairs:
Xiaofang Zhou
The University of Queensland, Australia
,
Alan F. Smeaton
Dublin City University, Ireland
,
Qi Tian
The University of Texas at San Antonio, USA
,
Program Chairs:
Dick C.A. Bulterman
FXPAL, USA
,
Heng Tao Shen
The University of Queensland, Australia
,
Ketan Mayer-Patel
The University of North Carolina, USA
,
Shuicheng Yan
National University of Singapore, Singapore

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

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Published: 13 October 2015

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MM '15: ACM Multimedia Conference

October 26 - 30, 2015

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MM '15 Paper Acceptance Rate 56 of 252 submissions, 22%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Zhang XWang MZeng X(2024)Multi-modal Feature Fistillation Emotion Recognition Method For Social Media2024 IEEE 24th International Conference on Software Quality, Reliability and Security (QRS)10.1109/QRS62785.2024.00051(445-454)Online publication date: 1-Jul-2024
https://doi.org/10.1109/QRS62785.2024.00051
Das RSingh T(2023)Multimodal Sentiment Analysis: A Survey of Methods, Trends, and ChallengesACM Computing Surveys10.1145/358607555:13s(1-38)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3586075
Olshannikova EOlsson THuhtamäki JKärkkäinen H(2017)Conceptualizing Big Social DataJournal of Big Data10.1186/s40537-017-0063-x4:1Online publication date: 25-Jan-2017
https://doi.org/10.1186/s40537-017-0063-x
Lin DLi LCao DLi SZhang ZGu NLi SLu TLi L(2017)Multi-modal Sentiment Feature Learning Based on Sentiment SignalProceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing10.1145/3127404.3127410(33-40)Online publication date: 22-Sep-2017
https://dl.acm.org/doi/10.1145/3127404.3127410

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Microblog Sentiment Analysis Based on Cross-media Bag-of-words Model

A cross-media public sentiment analysis system for microblog

Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog

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