As more people take to the cyberspace to express their opinions, governments and organisations face the challenge of making sense of a cluttered online space. A major question confronting them is what the online opinion on an issue is, if and how it differs from that of the general population.
Started in 2014, the project aims to develop an online media analytics system that analyses online public opinion, and using that, to predict how the wider public feels towards important issues and events. The collaboration involves human analysis of online data by IPS and computer analysis of the same data by LARC. We used the recent National Day Rally 2016 (NDR 2016) as a case study.
This site presents findings from the sensing of online public sentiments by machine on NDR 2016 based on human classification or coding by IPS: What did Singaporeans discuss on mainstream media sites (e.g., The Straits Times, Today and Channel NewsAsia) and social media platforms (blogs, discussion forums, Facebook and Twitter)? Which NDR 2016 topics gained the most traction among online users? What were their sentiments on these topics? Which social media platforms were most popular, and were the discussions and sentiments expressed on one platform different from those on another?