SentiTVchat: sensing the mood of social-TV viewers

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.