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SentiTVchat: sensing the mood of social-TV viewers

Published: 04 July 2012 Publication History

Abstract

In this paper, we propose a novel Social-TV chat system integrating new methods of measuring TV viewers' feedback and new multi-screen interaction paradigms. Viewers' messages in chat services are a valuable asset for their peers in general, and for the cable TV operator in particular. The proposed system analyses chat-messages to detect the mood of viewers towards a given show (i.e., positive vs negative). This data is plotted on the screen to inform the viewer about the show popularity. Although the system provides a one-user / two-screens interaction approach, the chat privacy is assured by discriminating information sent to the shared screen or the personal screen. We evaluated the system on a first experiment with labeled data to assess the accuracy (78%) of the chat analysis algorithm and a second experiment with live chat data to validate the user interface.

References

[1]
Ariyasu, K. et al. 2011. Message analysis algorithms and their application to social tv. EuroITV '11, Lisbon, Portugal, Jun. 2011.
[2]
Bollen, J. 2010. Determining the public mood state by analysis of microblogging posts. Alife XII Conf. MIT Press. (2010).
[3]
Cattelan, R.G. et al. 2008. Watch-and-comment as a paradigm toward ubiquitous interactive video editing. ACM Transactions on Multimedia Computing, Communications, and Applications. (2008).
[4]
Dan, O. et al. 2011. Filtering microblogging messages for social tv. Proceedings of the 20th international conference companion on World wide web - WWW '11 (New York, USA, Mar. 2011), 197.
[5]
Harboe, G. et al. 2008. Ambient social tv: Drawing people into a shared experience. ACM SIGCHI Human Factors in Computing Systems. ACM.
[6]
Haythornthwaite, C. 2001. The Strength and the Impact of New Media. Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34).
[7]
Liu, B. 2010. Sentiment analysis and subjectivity. Handbook of Natural Language Processing. (2010), 978--1420085921.
[8]
Oehlberg, L. et al. 2006. Social TV: Designing for distributed, sociable television viewing. Proc. EuroITV (2006), 25--26.
[9]
Weisz, J.D. et al. 2007. Watching together: Integrating text chat with video. ACM SIGCHI Human Factors in Computing Systems.
[10]
Zaletelj, J. et al. 2009. Real-time viewer feedback in the iTV production. EuroITV 2009.

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  1. SentiTVchat: sensing the mood of social-TV viewers

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    cover image ACM Other conferences
    EuroITV '12: Proceedings of the 10th European Conference on Interactive TV and Video
    July 2012
    240 pages
    ISBN:9781450311076
    DOI:10.1145/2325616
    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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    • Fraunhofer FOKUS: Fraunhofer FOKUS

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 July 2012

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    Author Tags

    1. chat
    2. multi-screen interaction
    3. sentiment analysis
    4. socialTV

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    EuroiTV '12
    Sponsor:
    • Fraunhofer FOKUS

    Acceptance Rates

    EuroITV '12 Paper Acceptance Rate 31 of 91 submissions, 34%;
    Overall Acceptance Rate 52 of 149 submissions, 35%

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