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Content Provider | ACM Digital Library |
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Author | Martins, Flávio Peleja, Filipa Magalhães, João |
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. |
Starting Page | 161 |
Ending Page | 164 |
Page Count | 4 |
File Format | |
ISBN | 9781450311076 |
DOI | 10.1145/2325616.2325649 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2012-07-04 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Sentiment analysis Socialtv Chat Multi-screen interaction |
Content Type | Text |
Resource Type | Article |
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