research-article

VISA: a visual sentiment analysis system

Authors:

Chuang LinAuthors Info & Claims

VINCI '12: Proceedings of the 5th International Symposium on Visual Information Communication and Interaction

Pages 22 - 28

https://doi.org/10.1145/2397696.2397700

Published: 27 September 2012 Publication History

Abstract

Sentiment plays a critical role in many information-centric business scenarios. The opinion mining methods proposed in the recent decade have formed a solid foundation to investigate the sentiment analysis tasks, but are often too complicated and scattered to serve the needs of real customers. We introduce the VISA system in this paper, which applies the visualization technology to synthesize the sentiment analysis results and present to the end user in an interactive manner. VISA builds on the generic sentiment tuple based data model and consumes the different facets of sentiment data with coordinated multiple views, hence is scalable to work with most of existing sentiment analysis engines on various application domains. We showcase the usage of VISA in a real world example and demonstrate the system's effectiveness through the user trail in finding an appropriate hotel for his family trip.

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Cited By

Maheshwari AAjmera RDharamdasani D(2023)Unmasking Embedded Text: A Deep Dive into Scene Image Analysis2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)10.1109/ICAICCIT60255.2023.10466066(1403-1408)Online publication date: 23-Nov-2023
https://doi.org/10.1109/ICAICCIT60255.2023.10466066
KAYAHAN SGÜNEL KNURİYEV U(2022)Eğitim İçerikleri için Sezgisel Metin Bölütlemeye Dayalı Çoklu Etiketleme Stratejisi: M.E.B. Sanat Tarihi Kitabı için Bir Durum ÇalışmasıMulti-Labeling Strategy based on a Heuristic Text Segmentation for Educational Contents: a Case Study for M.E.B. History of Art BookBilişim Teknolojileri Dergisi10.17671/gazibtd.102614215:2(139-148)Online publication date: 30-Apr-2022
https://doi.org/10.17671/gazibtd.1026142
dos Santos Alencar Mde Magalhães Netto Jde Morais F(2021)A Sentiment Analysis Framework for Virtual Learning EnvironmentApplied Artificial Intelligence10.1080/08839514.2021.1904594(1-17)Online publication date: 19-Apr-2021
https://doi.org/10.1080/08839514.2021.1904594
Show More Cited By

Index Terms

VISA: a visual sentiment analysis system
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Graphics input devices

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Published In

cover image ACM Other conferences

VINCI '12: Proceedings of the 5th International Symposium on Visual Information Communication and Interaction

September 2012

122 pages

ISBN:9781450317825

DOI:10.1145/2397696

General Chairs:
Huamin Qu
Hong Kong University of Science and Technology
,
Wei Chen
Zhejiang University
,
Program Chairs:
Philip T. Cox
Dalhousie University
,
Shixia Liu
Microsoft Research Asia

Copyright © 2012 ACM.

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

State Key Lab of CAD & CG: State Key Lab of CAD & CG, Zhejiang University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2012

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VINCI '12

Sponsor:

State Key Lab of CAD & CG

VINCI '12: The International Symposium on Visual Information Communication and Interaction

September 27 - 28, 2012

Hangzhou, China

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Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Maheshwari AAjmera RDharamdasani D(2023)Unmasking Embedded Text: A Deep Dive into Scene Image Analysis2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)10.1109/ICAICCIT60255.2023.10466066(1403-1408)Online publication date: 23-Nov-2023
https://doi.org/10.1109/ICAICCIT60255.2023.10466066
KAYAHAN SGÜNEL KNURİYEV U(2022)Eğitim İçerikleri için Sezgisel Metin Bölütlemeye Dayalı Çoklu Etiketleme Stratejisi: M.E.B. Sanat Tarihi Kitabı için Bir Durum ÇalışmasıMulti-Labeling Strategy based on a Heuristic Text Segmentation for Educational Contents: a Case Study for M.E.B. History of Art BookBilişim Teknolojileri Dergisi10.17671/gazibtd.102614215:2(139-148)Online publication date: 30-Apr-2022
https://doi.org/10.17671/gazibtd.1026142
dos Santos Alencar Mde Magalhães Netto Jde Morais F(2021)A Sentiment Analysis Framework for Virtual Learning EnvironmentApplied Artificial Intelligence10.1080/08839514.2021.1904594(1-17)Online publication date: 19-Apr-2021
https://doi.org/10.1080/08839514.2021.1904594
Sharma SJain A(2020)Role of sentiment analysis in social media security and analyticsWIREs Data Mining and Knowledge Discovery10.1002/widm.136610:5Online publication date: 29-Mar-2020
https://doi.org/10.1002/widm.1366
Rudra KSharma ABali KChoudhury MGanguly N(2019)Identifying and Analyzing Different Aspects of English-Hindi Code-Switching in TwitterACM Transactions on Asian and Low-Resource Language Information Processing10.1145/331493518:3(1-28)Online publication date: 23-Jul-2019
https://dl.acm.org/doi/10.1145/3314935
Badaro GBaly RHajj HEl-Hajj WShaban KHabash NAl-Sallab AHamdi A(2019)A Survey of Opinion Mining in ArabicACM Transactions on Asian and Low-Resource Language Information Processing10.1145/329566218:3(1-52)Online publication date: 7-May-2019
https://dl.acm.org/doi/10.1145/3295662
Reckziegel MJanicke S(2019)Time Varying Predominance Tag Maps2019 IEEE Visualization Conference (VIS)10.1109/VISUAL.2019.8933654(231-235)Online publication date: Oct-2019
https://doi.org/10.1109/VISUAL.2019.8933654
Lee PHu YLu K(2018)Assessing the helpfulness of online hotel reviews: A classification-based approachTelematics and Informatics10.1016/j.tele.2018.01.00135:2(436-445)Online publication date: May-2018
https://doi.org/10.1016/j.tele.2018.01.001
Xu JTao YYan YLin H(2018)VAUTJournal of Visualization10.1007/s12650-017-0464-021:3(471-484)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s12650-017-0464-0
Funk Mvan Diggelen M(2017)Feedback ConversationsInternational Journal of Web-Based Learning and Teaching Technologies10.4018/IJWLTT.201710010712:4(78-92)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.4018/IJWLTT.2017100107
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