When analysing social media conversations, in search of the public opinion about an unfolding event that is being discussed in real-time (e.g., presidential debates, major speeches, etc.), it is important to distinguish between two groups of participants: opinion-makers and opinion-holders. To address this problem, we propose a supervised machinelearning approach, which uses inexpensively acqui...