On the social networking and micro-blogging service "Twitter", there has been increasing "on-the-spot comments" while watching a sport game at a stadium or watching TV at home. We aim at the detection of these on-the-spot comments among other comments on Twitter. This paper reports an experiment to detect on-the-spot comments for TV programs, analyzing the frequency of occurrence of words by focusing on both program independent and dependent information.
